Patent Publication Number: US-2022215836-A1

Title: Electronic device and method for processing user utterance in the electronic device

Description:
CROSS-REFERENCE TO RELATED APPLICATION 
     This application is based on and claims priority under 35 U.S.C. § 119 to Korean Patent Application No. 10-2021-0002173, filed on Jan. 7, 2021, in the Korean Intellectual Property Office, the disclosure of which is incorporated by reference herein in its entirety. 
     BACKGROUND 
     Field 
     The disclosure relates to electronic devices, for example, to methods and devices for collecting and processing user utterances. 
     Description of Related Art 
     Portable digital communication devices have become a must-have item in the modern era. Customers desire to receive various high-quality services anytime, anywhere using their portable digital communication devices. 
     The speech recognition service is a service that provides customers with various content services corresponding to the user&#39;s speech received based on a speech recognition interface implemented on portable digital communication devices. In order to provide speech recognition services, portable digital communication devices are implemented with technologies that recognize and analyze human language (e.g., automatic speech recognition, natural language understanding, natural language generation, machine translation, dialogue system, question and answer, speech recognition/synthesis). 
     In order to provide high-quality speech recognition services to consumers, it is necessary to implement a technology that accurately identifies user intents from user speeches and a technology that provides appropriate content services corresponding to the identified user intents. 
     As artificial intelligence (AI) technology advances, there are under development electronic devices equipped with an intelligent agent that provides speech recognition services. An electronic device equipped with an intelligent agent (hereinafter, also referred to as an electronic device) may receive and process user utterances. The electronic device may receive a speech signal corresponding to the user&#39;s utterance through a microphone. When the distance between the electronic device and the user is large, the user&#39;s utterance may not be clearly received by the electronic device, which may cause speech recognition failure. For example, the user may move while speaking, and if the user&#39;s utterance is not received by the electronic device due to the movement of the user, the user may not receive the speech recognition service. Thus, the user may be needed to keep a speech recognizable distance from the electronic device to receive the speech recognition service, which may be annoying and inconvenient. 
     SUMMARY 
     Embodiments of the disclosure provide an electronic device capable of providing a speech recognition service by seamlessly acquiring the user&#39;s utterance even when the user utters while moving, and a method for processing user utterances on the electronic device. 
     Embodiments of the disclosure provide an electronic device capable of providing a speech recognition service even when the user moves while speaking, by, for example, obtaining the user&#39;s first utterance via a first electronic device and obtaining a second utterance, subsequent to the first utterance, via a second electronic device on the user&#39;s movement path, and a method for processing user utterances on the electronic device. 
     According to an example embodiment, an electronic device comprises: a communication module including circuitry, a memory, and at least one processor. The memory stores instructions that, when executed, cause the at least one processor to control the electronic device to: transmit, to a first electronic device through the communication module, first response data obtained by processing a first speech input corresponding to a first utterance received from the first electronic device, identify a second electronic device comprising circuitry configured to detect a second utterance associated with the first response data within a designated time after the first utterance, transmit a wake-up signal to the second electronic device, receive, from the second electronic device, a speech input corresponding to an utterance obtained by a turn-on of a microphone based on the wake-up signal, identify whether the received speech input corresponding to the user utterance is a second speech input corresponding to the second utterance, obtain second response data obtained by processing the second speech input based on the first speech input and the first response data in response to identifying that the received speech input corresponding to the utterance is the second speech input corresponding to the second utterance, and transmit the second response data to at least one of the first electronic device or the second electronic device through the communication module. 
     According to an example embodiment, a method for processing a user utterance by an electronic device comprises: transmitting, to a first electronic device through a communication module, first response data obtained by processing a first speech input corresponding to a first utterance received from the first electronic device, identifying a second electronic device configured to detect a second utterance associated with the first response data within a designated time after the first utterance, transmitting a wake-up signal to the second electronic device, receiving, from the second electronic device, a speech input corresponding to an utterance obtained by a turn-on of a microphone based on the wake-up signal, identifying whether the received speech input corresponding to the user utterance is a second speech input corresponding to the second utterance, obtaining second response data obtained by processing the second speech input based on the first speech input and the first response data in response to identifying that the received speech input corresponding to the user utterance is the second speech input corresponding to the second utterance, and transmitting the second response data to at least one of the first electronic device or the second electronic device through the communication module. 
     According to an example embodiment, there is provided a non-transitory computer readable storage medium storing instructions, the instructions, when executed by at least one processor cause the at least one processor to control an electronic device to perform at least one operation, the at least one operation comprising: transmitting, to a first electronic device through a communication module, first response data obtained by processing a first speech input corresponding to a first utterance received from the first electronic, identifying a second electronic device configured to detect a second utterance associated with the first response data within a designated time after the first utterance, transmitting a wake-up signal to the second electronic device, receiving, from the second electronic device, a speech input corresponding to an utterance obtained by a turn-on of a microphone based on the wake-up signal, identifying whether the received speech input corresponding to the user utterance is a second speech input corresponding to the second utterance, obtaining second response data obtained by processing the second speech input based on the first speech input and the first response data in response to identifying that the received speech input corresponding to the utterance is the second speech input corresponding to the second utterance, and transmitting the second response data to at least one of the first electronic device or the second electronic device through the communication module. 
     According to various example embodiments of the disclosure, it is possible to seamlessly obtain user utterances and provide a speech recognition service by obtaining and processing a user utterance and its subsequent utterance via a plurality of electronic devices on the user&#39;s movement path. 
     According to an example embodiment, it is possible to allow the user to receive a speech recognition service via a plurality of electronic devices even while on the move by obtaining the user&#39;s first utterance via a first electronic device and obtaining a second utterance, subsequent to the first utterance, via a second electronic device on the user&#39;s movement path, and a method for processing user utterances on the electronic device. 
     Effects of the disclosure are not limited to the foregoing, and other unmentioned effects would be apparent to one of ordinary skill in the art from the following description. 
    
    
     
       BRIEF DESCRIPTION OF THE DRAWINGS 
       The above and other aspects, features and advantages of certain embodiments of the present disclosure will be more apparent from the following detailed description, taken in conjunction with the accompanying drawings, in which: 
         FIG. 1  is a block diagram illustrating an example integrated intelligence system according to various embodiments; 
         FIG. 2  is a diagram illustrating an example form in which relationship information between concept and operation is stored in a database according to various embodiments; 
         FIG. 3  is a diagram illustrating an example screen in which a user terminal processes a speech input received through an intelligent app according to various embodiments; 
         FIG. 4  is a diagram illustrating an example of an intelligent server and a plurality of electronic devices according to various embodiments; 
         FIG. 5  is a signal flow diagram illustrating an example method for processing user utterances by an intelligent server, a first electronic device, and a second electronic device according to various embodiments; 
         FIG. 6  is a signal flow diagram illustrating an example method of processing user utterances by an intelligent server, a first electronic device, and a second electronic device according to various embodiments; 
         FIG. 7  is a block diagram illustrating an example configuration of an intelligent server according to various embodiments; 
         FIG. 8  is a flowchart illustrating an example operation of processing a user utterance by an intelligent server according to various embodiments; 
         FIG. 9  is a flowchart illustrating an example operation of identifying an electronic device to detect a second utterance associated with first response data for a user&#39;s first utterance by an intelligent server according to various embodiments; 
         FIG. 10  is a flowchart illustrating an example operation of identifying whether a speech input received from a second electronic device is a second speech input corresponding to a user&#39;s second utterance by an intelligent server according to various embodiments; 
         FIG. 11  is a block diagram illustrating an example configuration of an electronic device according to various embodiments; 
         FIG. 12  is a flowchart illustrating an example operation of outputting a first speech input obtained from an electronic device, first response data corresponding to the first speech input, and second response data based on a second speech input obtained from an external electronic device, according to various embodiments; 
         FIG. 13  is a flowchart illustrating an example operation of obtaining a speech input based on a control signal to control a user utterance from an intelligent server, by an electronic device, according to various embodiments; 
         FIG. 14  is a diagram illustrating an example of detecting an utterance associated with a shopping list and outputting response data associated with the shopping list using a first electronic device, a second electronic device, and a third electronic device according to various embodiments; 
         FIG. 15  is a diagram illustrating an example of detecting an utterance associated with searching for restaurants and outputting response data associated with the restaurant search using a first electronic device and a second electronic device according to various embodiments; 
         FIG. 16  is a diagram illustrating an example of detecting an utterance associated with an alarm setting and outputting response data associated with the alarm setting using a first electronic device, a second electronic device, and a third electronic device according to various embodiments; and 
         FIG. 17  is a diagram illustrating a user&#39;s audible distance, a first utterance detection distance of a first electronic device and a second utterance detection distance of a second electronic device according to various embodiments. 
     
    
    
     The same or similar reference denotations may be used to refer to the same or similar elements throughout the specification and the drawings. 
     DETAILED DESCRIPTION 
     The terms as used herein are provided merely to describe various embodiments thereof, but not to limit the scope of other embodiments of the disclosure. It is to be understood that the singular forms “a,” “an,” and “the” include plural references unless the context clearly dictates otherwise. All terms including technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the embodiments of the disclosure belong. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein. 
       FIG. 1  is a block diagram illustrating an example integrated intelligence system according to various embodiments. 
     Referring to  FIG. 1 , according to an embodiment, an integrated intelligence system  10  may include a user terminal  100 , an intelligent server  200 , and a service server (e.g., service content provider)  300 . 
     According to an embodiment, the user terminal  100  may be a terminal device (or electronic device) that may connect to the Internet, e.g., a mobile phone, smartphone, personal digital assistant (PDA), laptop computer, TV, home appliance, wearable device, head-mounted device (HMD), smart speaker, etc. 
     According to an embodiment, the user terminal  100  may include a communication interface (e.g., including communication circuitry)  110 , a microphone  120 , a speaker  130 , a display  140 , a memory  150 , and/or a processor (e.g., including processing circuitry)  160 . The above-enumerated components may be operatively or electrically connected with each other. 
     According to an embodiment, the communication interface  110  may include various communication circuitry and be configured to connect to, and transmit/receive data to/from, an external device. According to an embodiment, the microphone  120  may receive a sound (e.g., the user&#39;s utterance) and convert the sound into an electrical signal. According to an embodiment, the speaker  130  may output the electrical signal as a sound (e.g., speech). According to an embodiment, the display  140  may be configured to display images or videos. According to an embodiment, the display  140  may display a graphic user interface (GUI) of an app (or application program) that is executed. 
     According to an embodiment, the memory  150  may store various executable program elements including, for example, a client module  151 , a software development kit (SDK)  153 , and a plurality of apps  155 _ 1 ,  155 _ 2 , etc. (which may simply be referred to hereinafter as element  155 ). The client module  151  and the SDK  153  may include a framework (or solution program) for performing general-purpose functions. The client module  151  or SDK  153  may include a framework for processing speech input. 
     According to an embodiment, the plurality of apps  155  may include programs for performing designated functions. According to an embodiment, the plurality of apps  155  may include a first app  155 - 1  and a second app  155 - 3 . According to an embodiment, each of the plurality of apps may include a plurality of actions for performing the designated function. For example, the apps  155  may include an alarm app, a messaging app, and/or a scheduler app, etc. According to an embodiment, the plurality of apps  155  may be executed by the processor  160  to execute at least some of the plurality of operations. 
     According to an embodiment, the processor  160  may include various processing circuitry and control the overall operation of the user terminal  100 . For example, the processor  160  may be electrically connected with the communication interface  110 , microphone  120 , speaker  130 , and display  140  to perform designated operations. 
     According to an embodiment, the processor  160  may execute the program stored in the memory  150  to perform a designated function. For example, the processor  160  may execute at least one of the client module  151  or the SDK  153  to perform the following operations for processing speech input. The processor  160  may control the operation of the plurality of apps  155  via, e.g., the SDK  153 . The following operations described as operations of the client module  151  or SDK  153  may be operations according to the execution of the processor  160 . 
     According to an embodiment, the client module  151  may include various executable program elements configured to receive a speech input. For example, the client module  151  may receive a speech signal corresponding to the user&#39;s utterance detected via the microphone  120 . According to an embodiment, the client module  151  may transmit a speech input (e.g., speech data) corresponding to the received speech signal to the intelligent server  200 . The client module  151  may transmit state information about the user terminal  100  along with the speech input to the intelligent server  200 . The state information may be, e.g., app execution state information. 
     According to an embodiment, the client module  151  may receive a result corresponding to the speech input. For example, when the intelligent server  200  may produce the result corresponding to the received speech input, the client module  151  may receive the result (e.g., response data) corresponding to the received speech input. The client module  151  may display the received result on the display  140 . 
     According to an embodiment, the client module  151  may receive a plan corresponding to the speech input. The client module  151  may display the results of execution of the plurality of operations of the app according to the plan on the display  140 . The client module  151  may display, e.g., the results of execution of the plurality of operations on the display. As another example, the user terminal  100  may display only some results of execution of the plurality of operations (e.g., the result of the last operation) on the display. 
     According to an embodiment, the client module  151  may receive a request for obtaining information necessary to produce the result corresponding to the speech input from the intelligent server  200 . According to an embodiment, the client module  151  may transmit the necessary information to the intelligent server  200  in response to the request. 
     According to an embodiment, the client module  151  may transmit information resultant from executing the plurality of operations according to the plan to the intelligent server  200 . The intelligent server  200  may identify that the speech input has been properly processed using the result information. 
     According to an embodiment, the client module  151  may include a speech recognition module. According to an embodiment, the client module  151  may recognize the speech input to perform a limited function via the speech recognition module. For example, the client module  151  may perform an intelligent app to process the speech input to perform organic operations via a designated input (e.g., Wake up!). 
     According to an embodiment, the intelligent server  200  may receive information related to a speech input from the user terminal  100  through the network  152 . According to an embodiment, the intelligent server  200  may convert the data related to the speech input into text data. According to an embodiment, the intelligent server  200  may generate a plan for performing the task corresponding to the user speech input based on the text data. 
     According to an embodiment, the plan may be generated by an artificial intelligence (AI) system. The AI system may be a rule-based system or a neural network-based system (e.g., feedforward neural network (FNN)), recurrent neutral network (RNN), or the like). Or, the AI system may be a combination thereof or a system different therefrom. According to an embodiment, the plan may be selected from a set of pre-defined plans or created in real-time in response to a user request. For example, the AI system may select at least one plan from among a plurality of pre-defined plans. 
     According to an embodiment, the intelligent server  200  may transmit the result according to the generated plan to the user terminal  100  or transmit the generated plan to the user terminal  100 . According to an embodiment, the user terminal  100  may display the result according to the plan on the display. According to an embodiment, the user terminal  100  may display the result of execution of the operation according to the plan on the display. 
     According to an embodiment, the intelligent server  200  may include a front end  210 , a natural language platform (e.g., including processing circuitry and/or executable program elements)  220 , a capsule database (DB)  230 , an execution engine (e.g., including processing circuitry and/or executable program elements)  240 , an end user interface (e.g., including interface circuitry)  250 , a management platform (e.g., including processing circuitry and/or executable program elements)  260 , a big data platform (e.g., including processing circuitry and/or executable program elements)  270 , and/or an analytic platform (e.g., including processing circuitry and/or executable program elements)  280 . 
     According to an embodiment, the front end  210  may include various circuitry and receive a speech input from the user terminal  100 . The front end  210  may transmit a response corresponding to the speech input. 
     According to an embodiment, the natural language platform  220  may include various processing circuitry and/or executable program elements, including, for example, an automatic speech recognition module (ASR module)  221 , a natural language understanding module (NLU module)  223 , a planner module  225 , a natural language generator module (NLG module)  227 , and/or a text to speech module (TTS module)  229 . 
     According to an embodiment, the ASR module  221  may include various processing circuitry and/or executable program elements and convert the user input received from the user terminal  100  into text data. According to an embodiment, the NLU module  223  may include various processing circuitry and/or executable program elements and grasp the user&#39;s intent using the text data of the speech input. For example, the NLU module  223  may perform syntactic analysis or semantic analysis to grasp the user&#39;s intent. According to an embodiment, the NLU module  223  may grasp the meaning of a word extracted from the speech input using linguistic features (e.g., syntactic elements) of morphemes or phrases, match the grasped meaning of the word to the intent, and determine the user&#39;s intent. 
     According to an embodiment, the planner module  225  may include various processing circuitry and/or executable program elements and generate a plan using the parameter and intent determined by the NLU module  223 . According to an embodiment, the planner module  225  may determine a plurality of domains necessary to perform a task based on the determined intent. The planner module  225  may determine the plurality of operations included in the plurality of domains determined based on the intent. According to an embodiment, the planner module  225  may determine parameters necessary to execute the plurality of determined operations or resultant values output by execution of the plurality of operations. The parameters and/or resultant values may be defined in a designated format (or class) of concept. Thus, the plan may include the plurality of operations determined by the user&#39;s intent and a plurality of concepts. The planner module  225  may stepwise (or hierarchically) determine the relationship between the plurality of operations and the plurality of concepts. For example, the planner module  225  may determine the order of execution of the plurality of operations determined based on the user&#39;s intent based on the plurality of concepts. In other words, the planner module  225  may determine the order of execution of the plurality of operations based on the result output by execution of the plurality of operations and the parameters necessary to execute the plurality of operations. Thus, the planner module  225  may generate a plan that contains association information (e.g., ontology) between the plurality of operations and the plurality of concepts. A plan may be generated using information stored in the capsule DB  230  that stores a set of concept-operation relationships. 
     According to an embodiment, the NLG module  227  may convert designated information into a text type. The text-type information may be in the form of a natural language utterance. According to an embodiment of the disclosure, the TTS module  229  may include various processing circuitry and/or executable program elements and convert text information into speech information. 
     According to an embodiment, all or some of the functions of the natural language platform  220  may also be implemented in the user terminal  100 . 
     The capsule DB  230  may store information about the relationship between the plurality of concepts and operations corresponding to the plurality of domains. According to an embodiment, the capsule may include a plurality of concept objects (or concept information) and a plurality of action objects (or action information) included in the plan. According to an embodiment, the capsule DB  230  may store a plurality of capsules in the form of a concept action network (CAN). According to an embodiment, the plurality of capsules may be stored in a function registry included in the capsule DB  230 . 
     According to an embodiment, the capsule DB  230  may include a strategy registry storing strategy information necessary to determine the plan corresponding to the speech input. The strategy information may include reference information for determining one plan if there are a plurality of plans corresponding to the speech input. According to an embodiment, the capsule DB  230  may include a follow up registry storing follow up information to propose a subsequent action to the user in a designated context. The subsequent action may include, e.g., a subsequent utterance. According to an embodiment, the capsule DB  230  may include a layout registry storing layout information about the information output via the user terminal  100 . According to an embodiment, the capsule DB  230  may include a vocabulary registry storing vocabulary information included in capsule information. According to an embodiment, the capsule DB  230  may include a dialog registry storing dialog (or interaction) information with the user. The capsule DB  230  may update the stored object via a developer tool. The developer tool may include a function editor for updating, e.g., the action object or concept object. The developer tool may include a vocabulary editor for updating the vocabulary. The developer tool may include a strategy editor to generate and register a strategy to determine a plan. The developer tool may include a dialog editor to generate a dialog with the user. The developer tool may include a follow up editor capable of activating a subsequent goal and editing a subsequent utterance to provide a hint. The subsequent goal may be determined based on the current goal, the user&#39;s preference, or environmental conditions. According to an embodiment, the capsule DB  230  may also be implemented in the user terminal  100 . 
     According to an embodiment, the execution engine  240  may include various processing circuitry and/or executable program elements and produce a result using the generated plan. The end user interface  250  may include various circuitry and transmit the produced result to the user terminal  100 . Thus, the user terminal  100  may receive the result and provide the received result to the user. According to an embodiment, the management platform  260  may include various processing circuitry and/or executable program elements and manage information used in the intelligent server  200 . According to an embodiment, the big data platform  270  may include various processing circuitry and/or executable program elements and gather user data. According to an embodiment, the analytic platform  280  may include various processing circuitry and/or executable program elements and manage the quality of service (QoS) of the intelligent server  200 . For example, the analytic platform  280  may manage the components and processing speed (or efficiency) of the intelligent server  200 . 
     According to an embodiment, the service server  300  may provide the user terminal  100  with a designated service (e.g., a shopping list service, a restaurant search service, an alarm service, or a service using speech recognition). According to an embodiment, the service server  300  may be a server operated by a third party. According to an embodiment, the service server  300  may provide information for generating the plan corresponding to the received speech input to the intelligent server  200 . The provided information may be stored in the capsule DB  230 . According to an embodiment, the service server  300  may provide result information according to the plan to the intelligent server  200 . 
     According to an embodiment of the disclosure, in the integrated intelligence system  10 , the user terminal  100  may provide various intelligent services to the user in response to user inputs. The user inputs may include, e.g., inputs using physical buttons, touch inputs, or speech inputs. 
     According to an embodiment, the user terminal  100  may provide a speech recognition service via an intelligent app (or speech recognition app) stored therein. In this case, for example, the user terminal  100  may recognize the user utterance or speech input received via the microphone  120  and provide the service corresponding to the recognized speech input to the user. 
     According to an embodiment, the user terminal  100  may perform a designated operation, alone or together with the intelligent server and/or service server, based on the speech input. For example, the user terminal  100  may execute the app corresponding to the speech input and perform a designated operation via the executed app. 
     According to an embodiment, when the user terminal  100 , together with the intelligent server  200  and/or service server, provides the service, the user terminal  100  may detect a user utterance using the microphone and generate a speech signal (or speech data) corresponding to the detected user utterance. The user terminal may transmit the speech signal (or speech data) to the intelligent server  200  via the communication interface  110 . 
     According to an embodiment, in response to (or as response data for) the speech input received from the user terminal  100 , the intelligent server  200  may generate a plan for performing the task corresponding to the speech input or the result of the operation performed according to the plan. The plan may include a plurality of actions for performing the task corresponding to the user&#39;s speech input and a plurality of concepts related to the plurality of actions. The concept may be one defining parameters input upon execution of the plurality of actions or one defining the resultant value output by execution of the plurality of actions. The plan may include association information between the plurality of actions and the plurality of concepts. 
     According to an embodiment, the user terminal  100  may receive the response (or response data) using the communication interface  110 . The user terminal  100  may output the speech signal generated inside the user terminal  100  to the outside using the speaker  130  or may output the image generated inside the user terminal  100  to the outside using the display  140 . 
       FIG. 2  is a diagram illustrating an example form in which relationship information between concept and operation is stored in a database according to various embodiments. 
     A capsule database (e.g., the capsule database  230 ) of the intelligent server  200  according to an embodiment may store capsules in the form of a concept action network (CAN)  400 . The capsule database may store an operation for processing a task corresponding to the user&#39;s speech input and a parameter necessary for the operation in the form of the CAN  400 . 
     The capsule database according to an embodiment may store a plurality of capsules (capsule (A)  401  and capsule (B)  404 ) respectively corresponding to a plurality of domains (e.g., applications). According to an embodiment, one capsule (e.g., capsule (A)  401 ) may correspond to one domain (e.g., location (geo), application). For example, one capsule may correspond to at least one service provider (e.g., CP 1  402 , CP 2  403 , CP 3  406 , or CP 4  405 ) for performing a function for a domain related to the capsule. According to an embodiment, one capsule may include at least one or more operations  410  and at least one or more concepts  420  for performing a designated function. 
     The natural language platform  220  according to an embodiment may generate a plan for performing a task corresponding to the received speech input using a capsule stored in the capsule database. For example, the planner module  225  of the natural language platform  220  may generate a plan using a capsule stored in the capsule database. For example, a plan  407  may be generated using operations  4011  and  4013  and concepts  4012  and  4014  of capsule A  401  and an operation  4041  and concept  4042  of capsule B  404 . 
       FIG. 3  is a diagram illustrating an example screen in which a user terminal processes a speech input received through an intelligent app according to various embodiments. 
     According to an embodiment, the user terminal  100  may execute an intelligent app to process user inputs through the intelligent server  200 . 
     According to an embodiment, upon recognizing a designated speech input (e.g., a wake-up) or receiving an input through a hardware key (e.g., a dedicated hardware key) on a screen  310 , the user terminal  100  may execute the intelligent app to process the speech input. The user terminal  100  may, for example, execute the intelligent app, with a scheduler app running According to an embodiment, the user terminal  100  may display an object (e.g., an icon)  311  corresponding to the intelligent app on the display  140 . 
     According to an embodiment, the user terminal  100  may receive a speech input by a user utterance. For example, the user terminal  100  may receive a speech input saying, “Tell me this week&#39;s schedule!” According to an embodiment, the user terminal  100  may display a user interface (UI)  313  (e.g., an input window) of the intelligent app displaying the text data of the received speech input on the display. 
     According to an embodiment, on a screen  320 , the user terminal  100  may display a result corresponding to the received speech input on the display. For example, the user terminal  100  may receive the plan corresponding to the received user input, and display ‘this week&#39;s schedule’ on the display according to the plan. 
       FIG. 4  is a diagram illustrating an example intelligent server and a plurality of electronic devices according to various embodiments. 
     Referring to  FIG. 4 , according to an embodiment, the intelligent server  200  (also referred to as a server device or an electronic device) may communicate with a plurality of electronic devices through a network  152 . For example, the plurality of electronic devices may include a first electronic device  101  and a second electronic device  102 , and may further include at least one additional electronic device (e.g., a third electronic device  103 ). According to an embodiment, the intelligent server  200  may store information about a plurality of electronic devices designated to detect a specific user&#39;s utterance. For example, the first electronic device  101  or the second electronic device  102  may be the user terminal  100 . 
     According to an embodiment, the intelligent server  200  may receive and process a first speech input corresponding to the user&#39;s first utterance from the first electronic device  101  and may transmit first response data corresponding to the processing result to the first electronic device  101 . For example, the intelligent server  200  may generate first response data corresponding to a first plan for performing a first task corresponding to the first speech input corresponding to the user&#39;s first utterance or a result of performing an operation according to the first plan and transmit the same to the first electronic device  101 . 
     According to an embodiment, the intelligent server  200  may identify the second electronic device  102  for detecting a second utterance associated with the first response data (which may hereinafter be simply referred to as a second utterance) within a designated time after the user&#39;s first utterance. According to an embodiment, the intelligent server  200  may transmit a control signal (e.g., a wake-up signal) for controlling to detect the user&#39;s utterance to the identified second electronic device  102 . 
     According to an embodiment, the intelligent server  200  may receive a speech input corresponding to the user utterance detected from the second electronic device  102 . According to an embodiment, when the speech input received from the second electronic device  102  is an input associated with the first speech input response session, the intelligent server  200  may identify that the speech input received from the second electronic device  102  is a second speech input corresponding to the second utterance. According to an embodiment, when the speech input received from the second electronic device  102  is received within a designated time after the first speech input corresponding to the user&#39;s first utterance is received and is a speech input associated with the first response data, the intelligent server  200  may identify that the speech input received from the second electronic device  102  is the second speech input corresponding to the second utterance. 
     According to an embodiment, the intelligent server  200  may process the identified second speech input corresponding to the second utterance and provide second response data corresponding to the processing result to the first electronic device  101 . For example, the intelligent server may generate second response data corresponding to a second plan for performing a second task corresponding to the first speech input, the first response data, and the second speech input or a result of performing an operation according to the second plan and transmit the same to the first electronic device  101  (or the second electronic device  102 ). 
       FIG. 5  is a signal flow diagram illustrating an example method for processing user utterances by an intelligent server, a first electronic device, and a second electronic device according to various embodiments. 
     Referring to  FIG. 5 , in operation  512 , according to an embodiment, the first electronic device  101  (e.g., the processor  160  of the user terminal  100  of  FIG. 1 ) may obtain a first speech input corresponding to a first user utterance through a microphone (e.g., the microphone  120  of  FIG. 1 ). For example, the first electronic device  101  may execute an intelligent app according to a designated input (or a wake-up command) (e.g., “Bixby”) and obtain a first speech input (e.g., “Tell me nearby cafés”) corresponding to the first speech input from the user through the microphone  120 . 
     In operation  514 , according to an embodiment, the first electronic device  101  may transmit the first speech input to the intelligent server  200 . For example, the first electronic device  101  may convert the first speech input into first text data and transmit it to the intelligent server  200 . 
     In operation  516 , according to an embodiment, the intelligent server  200  may process the first speech input to thereby obtain first response data. For example, the intelligent server  200  may convert the first speech input received from the first electronic device  101  into first text data and analyze the first text data to thereby identify a first command corresponding to the first speech input and may obtain first response data corresponding to a first plan for performing a first task regarding the execution of the identified first command or a result of performing an operation according to the first plan. For example, the command may include at least one of a target application, a target function, or a parameter. According to an embodiment, the target application may correspond to the capsule or domain described in  FIG. 1 or 2 , and the target function and parameter, respectively, may correspond to the intent and parameters determined by the natural language understanding module  223  of  FIG. 1 . For example, the intelligent server  200  may analyze the first text data to identify a first command including a target application, a target function, and a parameter element, and based on the result of identifying the first command, obtain first response data corresponding to a first plan for performing a first task regarding the execution of the first command or a result of performing an operation according to the first plan. For example, when the first text data corresponding to the first speech input is “Tell me nearby cafés,” the intelligent server  200  may perform a first command including a target application (e.g., a map application), a target function (e.g., search), and a parameter (e.g., a radius of 00 m from the current location, café), as a result of analysis of the first text. The intelligent server  200  may obtain first response data (e.g., “I&#39;ll tell you cafés around the current location,” “coffee shop A,” “coffee shop B,” “coffee shop C”) corresponding to a first plan for performing a first task regarding the execution of the first command or a result of performing an operation according to the first plan. 
     In operation  518 , according to an embodiment, the intelligent server  200  may transmit the first response data obtained as a result of processing the first speech input to the first electronic device  101 . 
     In operation  520 , according to an embodiment, the first electronic device  101  may output the first response data. For example, when the first response data includes the first plan for performing the first task, the first electronic device  101  may perform an operation according to the first plan and output a sound and/or screen corresponding to the result of performing the operation (e.g., “I&#39;ll tell you cafés around the current location, “coffee shop A,” “coffee shop B,” “coffee shop C”). For example, when the first response data includes the result of performing the operation according to the first plan, the first electronic device  101  may output a sound and/or screen corresponding to the first response data (e.g., “I&#39;ll tell you cafés around the current location” “coffee shop A,” “coffee shop B,” “coffee shop C”). 
     In operation  522 , according to an embodiment, the intelligent server  200  may identify the second electronic device  102  for detecting a second utterance associated with the first response data within a designated time after the user&#39;s first utterance. For example, the intelligent server  200  may identify whether a wearable electronic device worn by the user of the first utterance is among a plurality of electronic devices, whether an electronic device is present within a designated distance from the user of the first utterance (or the first electronic device detecting the first utterance) among the plurality of electronic devices, or the second electronic device  102  among the plurality of electronic devices based on a result of identifying a user utterance detected by each of the plurality of electronic devices turning on the microphone after transmitting a control signal (e.g., a wake-up signal) for controlling to detect a user utterance to each of the plurality of electronic devices. 
     In operation  524 , according to an embodiment, the intelligent server  200  may transmit a control signal (e.g., a wake-up signal) for controlling the second electronic device  102  to detect the user&#39;s utterance to the identified second electronic device  102 . 
     In operation  526 , according to an embodiment, the second electronic device  102  may perform a wake-up operation. For example, the second electronic device  102  may wake up and thus turn on the microphone to detect a user utterance. For example, the second electronic device  102  may execute the intelligent app in response to the reception of a wake-up signal from the intelligent server  200  instead of a designated input (or a wake-up command) (e.g., “Bixby”) and may obtain a speech input (e.g., “Tell me the business hours of that”) corresponding to the user utterance through the microphone. 
     In operation  528 , according to an embodiment, the second electronic device  102  may transmit the speech input corresponding to the user speech to the intelligent server  200 . 
     In operation  530 , according to an embodiment, the intelligent server may identify whether the speech input (e.g., “Tell me the business hours of that”) received from the second electronic device  102  is the second speech input corresponding to the user&#39;s second utterance. For example, when the speech input received from the second electronic device  102  is a speech input associated with the first speech input response session, the intelligent server  200  may identify that the speech input received from the second electronic device  102  is a second speech input corresponding to the user&#39;s second utterance. For example, when the speech input (e.g., “Tell me the business hours of that”) received from the second electronic device  102  is received within a designated time after receiving the first speech input (e.g., “Tell me nearby cafés”) corresponding to the user&#39;s first utterance and is a speech input associated with the first response data (e.g., “I&#39;ll tell you cafés around the current location,” “coffee shop A,” “coffee shop B,” “coffee shop C”), the intelligent server  200  may identify that the speech input (e.g., “Tell me the business hours of that”) received from the second electronic device  102  is the second speech input corresponding to the user&#39;s second utterance. For example, the intelligent server  200  may identify that the speech input received from the second electronic device  102  is the second speech input corresponding to the user&#39;s second utterance, based on whether the speech input received from the second electronic device  102  includes a speech corresponding to an operation interruption, whether the speech input received from the second electronic device  102  includes a speech included in the first response data for the first utterance, or whether the speech input received from the second electronic device  102  includes a speech corresponding to a demonstrative pronoun. 
     In operation  532 , according to an embodiment, the intelligent server may process the second speech input corresponding to the second utterance and obtain second response data corresponding to the processing result. For example, the intelligent server  200  may obtain (or generate) second response data (e.g., “The business hours of coffee shop B are from 9:00 AM to 9:00 PM”) corresponding to a second plan for performing a second task regarding the execution of a second command (e.g., “Tell me the business hours of coffee shop B”), corresponding to the first speech input (e.g., “Tell me nearby cafés”), the first response data (e.g., “I&#39;ll tell you cafés around the current location,” “coffee shop A,” “coffee shop B,” “coffee shop C”), and the second speech input (e.g., “Tell me the business hours of that”) or a result of performing an operation according to the second plan. 
     In operation  534 , according to an embodiment, the intelligent server  200  may transmit the second response data to the first electronic device  101  (or the second electronic device  102 ). 
     In operation  536 , according to an embodiment, the first electronic device  101  may output the second response data. For example, when the second response data includes the second plan for performing the second task, the first electronic device  101  may perform an operation according to the second plan and output a sound and/or screen corresponding to the result of performing the operation (e.g., “The business hours of coffee shop B are from 9:00 AM to 9:00 PM”). For example, when the second response data includes the result of performing the operation according to the second plan, the first electronic device  101  may output a sound and/or screen corresponding to the second response data (e.g., “The business hours of coffee shop B are from 9:00 AM to 9:00 PM”). 
       FIG. 6  is a signal flow diagram illustrating an example method of processing user utterances by an intelligent server, a first electronic device, and a second electronic device according to various embodiments. 
     Referring to  FIG. 6 , in operation  612 , according to an embodiment, the first electronic device  101  (e.g., the processor  160  of the user terminal  100  of  FIG. 1 ) may obtain a first speech input corresponding to a first user utterance through a microphone (e.g., the microphone  120  of  FIG. 1 ). For example, the first electronic device  101  may execute an intelligent app according to a designated input (or a wake-up command) (e.g., “Bixby”) and obtain a first speech input (e.g., “Tell me nearby cafés”) corresponding to the first speech input from the user through the microphone  120 . 
     In operation  614 , according to an embodiment, the first electronic device  101  may transmit the first speech input to the intelligent server  200 . For example, the first electronic device  101  may convert the first speech input into first text data and transmit it to the intelligent server  200 . 
     In operation  616 , according to an embodiment, the intelligent server  200  may process the first speech input to thereby obtain first response data. For example, the intelligent server  200  may convert the first speech input received from the first electronic device  101  into first text data and analyze the first text data to thereby identify a first command corresponding to the first speech input and may obtain first response data corresponding to a first plan for performing a first task regarding the execution of the identified first command or a result of performing an operation according to the first plan. For example, the command may include at least one of a target application, a target function, or a parameter. According to an embodiment, the target application may correspond to the capsule or domain described in  FIG. 1  or  FIG. 2 , and the target function and parameter, respectively, may correspond to the intent and parameters determined by the natural language understanding module  223  of  FIG. 1 . For example, the intelligent server  200  may analyze the first text data to identify a first command including a target application, a target function, and a parameter element, and based on the result of identifying the first command, obtain first response data corresponding to a first plan for performing a first task regarding the execution of the first command or a result of performing an operation according to the first plan. For example, when the first text data corresponding to the first speech input is “Tell me nearby cafés,” the intelligent server  200  may perform a first command including a target application (e.g., a map application), a target function (e.g., search), and a parameter (e.g., a radius of 00 m from the current location, café), as a result of analysis of the first text. The intelligent server  200  may obtain first response data (e.g., “I&#39;ll tell you cafés around the current location,” “coffee shop A,” “coffee shop B,” “coffee shop C”) corresponding to a first plan for performing a first task regarding the execution of the first command or a result of performing an operation according to the first plan. 
     In operation  618 , according to an embodiment, the intelligent server  200  may transmit the first response data obtained as a result of processing the first speech input to the first electronic device  101 . 
     In operation  620 , according to an embodiment, the first electronic device  101  may output the first response data. For example, when the first response data includes the first plan for performing the first task, the first electronic device  101  may perform an operation according to the first plan and output a sound and/or screen corresponding to the result of performing the operation (e.g., “I&#39;ll tell you cafés around the current location, “coffee shop A,” “coffee shop B,” “coffee shop C”). For example, when the first response data includes the result of performing the operation according to the first plan, the first electronic device  101  may output a sound and/or screen corresponding to the first response data (e.g., “I&#39;ll tell you cafés around the current location” “coffee shop A,” “coffee shop B,” “coffee shop C”). 
     In operation  622 , according to an embodiment, the intelligent server  200  may identify the second electronic device  102  for detecting a second utterance associated with the first response data within a designated time after the user&#39;s first utterance. For example, the intelligent server  200  may identify whether a wearable electronic device worn by the user of the first utterance is among a plurality of electronic devices, whether an electronic device is present within a designated distance from the user of the first utterance (or the first electronic device detecting the first utterance) among the plurality of electronic devices, or the second electronic device  102  among the plurality of electronic devices based on a result of identifying a user utterance detected by each of the plurality of electronic devices turning on the microphone after transmitting a control signal (e.g., a wake-up signal) for controlling to detect a user utterance to each of the plurality of electronic devices. 
     In operation  624 , according to an embodiment, the intelligent server  200  may transmit a control signal (e.g., a wake-up signal) for controlling the second electronic device  102  to detect the user&#39;s utterance to the identified second electronic device  102 . 
     In operation  626 , according to an embodiment, the second electronic device  102  may perform a wake-up operation. For example, the second electronic device  102  may wake up and thus turn on the microphone to detect a user utterance. For example, the second electronic device  102  may execute the intelligent app in response to the reception of a wake-up signal from the intelligent server  200  instead of a designated input (or a wake-up command) (e.g., “Bixby”). 
     In operation  628 , the intelligent server  200  according to an embodiment transmits a first speech input to the second electronic device  102  (e.g., “Tell me nearby cafés”) and first response data (e.g., “I&#39;ll tell you cafés around the current location, “coffee shop A,” “coffee shop B,” “coffee shop C”). 
     In operation  630 , according to an embodiment, the second electronic device  102  may receive input signal corresponding to user&#39;s utterance. The second electronic device  102  may obtain a speech input (e.g., “Tell me the business hours of that”) corresponding to the user utterance through the microphone. 
     In operation  632 , according to an embodiment, the second electronic device  102  may identify whether the obtained speech input (e.g., “Tell me the business hours of that”) corresponding to the user utterance is the second speech input corresponding to the user&#39;s second utterance. For example, when the obtained speech input (e.g., “Tell me the business hours of that”) corresponding to the user utterance is a speech input associated with the first speech input response session, the second electronic device  102  may identify that the obtained speech input (e.g., “Tell me the business hours of that”) corresponding to the user utterance is the second speech input corresponding to the user&#39;s second utterance. For example, when the obtained speech input (e.g., “Tell me the business hours of that”) corresponding to the user utterance is received within a designated time after receiving the first speech input (e.g., “Tell me nearby cafés”) corresponding to the user&#39;s first utterance and is a speech input associated with the first response data (e.g., “I&#39;ll tell you cafés around the current location,” “coffee shop A,” “coffee shop B,” “coffee shop C”), the second electronic device  102  may identify that the speech input (e.g., “Tell me the business hours of that”) received from the second electronic device  102  is the second speech input corresponding to the user&#39;s second utterance. For example, the second electronic device  102  may identify that the received speech input is the second speech input corresponding to the user&#39;s second utterance, based on whether the received speech input includes a speech corresponding to an operation interruption, whether the received speech input includes a speech included in the first response data for the first utterance, or whether the received speech input includes a speech corresponding to a demonstrative pronoun. 
     In operation  634 , according to an embodiment, the second electronic device  102  may transmit the identified second speech input corresponding to the user speech to the intelligent server  200 . 
     In operation  636 , according to an embodiment, the intelligent server may process the second speech input corresponding to the second utterance and obtain second response data corresponding to the processing result. For example, the intelligent server  200  may obtain (or generate) second response data (e.g., “The business hours of coffee shop B are from 9:00 AM to 9:00 PM”) corresponding to a second plan for performing a second task regarding the execution of a second command (e.g., “Tell me the business hours of coffee shop B”), corresponding to the first speech input (e.g., “Tell me nearby cafés”), the first response data (e.g., “I&#39;ll tell you cafés around the current location,” “coffee shop A,” “coffee shop B,” “coffee shop C”), and the second speech input (e.g., “Tell me the business hours of that”) or a result of performing an operation according to the second plan. 
     In operation  638 , according to an embodiment, the intelligent server  200  may transmit the second response data to the first electronic device  101  (or the second electronic device  102 ). 
     In operation  640 , according to an embodiment, the first electronic device  101  may output the second response data. For example, when the second response data includes the second plan for performing the second task, the first electronic device  101  may perform an operation according to the second plan and output a sound and/or screen corresponding to the result of performing the operation (e.g., “The business hours of coffee shop B are from 9:00 AM to 9:00 PM”). For example, when the second response data includes the result of performing the operation according to the second plan, the first electronic device  101  may output a sound and/or screen corresponding to the second response data (e.g., “The business hours of coffee shop B are from 9:00 AM to 9:00 PM”). 
       FIG. 7  is a block diagram illustrating an example configuration of an intelligent server according to various embodiments. 
     Referring to  FIG. 7 , an intelligent server  700  (e.g., the intelligent server  200  of  FIG. 1 ) according to an embodiment may include a communication module (e.g., including communication circuitry)  710 , a processor (e.g., including processing circuitry)  720 , and a memory  730 . 
     According to an embodiment, the communication module  710  (e.g., the front end  210  of  FIG. 1 ) may include various communication circuitry and support an establishment of a direct (e.g., wired) communication channel or wireless communication channel between a plurality of electronic devices (e.g., the first electronic device  101  and the second electronic device  102 ) and communication via the established communication channel. The communication module  710  may include one or more communication processors that are operable independently from the processor  720  and supports a direct (e.g., wired) communication or a wireless communication. According to an embodiment, the communication module  710  may include a wireless communication module (e.g., a cellular communication module, a short-range wireless communication module, or a global navigation satellite system (GNSS) communication module) or a wired communication module (e.g., a local area network (LAN) communication module or a power line communication (PLC) module). 
     According to an embodiment, the processor  720  (e.g., a server processor) may include various processing circuitry and control at least one other component (e.g., a hardware or software component) of the intelligent server  200  connected to the processor  720  and perform various data processing or computation. According to one embodiment, as at least part of the data processing or computation, the processor  720  may store a command or data received from another component (e.g., the communication module  190 ) in the memory  130 , process the command or the data stored in the memory  130 , and store resulting data in the memory  130 . 
     According to an embodiment, the processor  720  may include a hardware structure specified for artificial intelligence model processing. The artificial intelligence model may be generated via machine learning. Learning algorithms may include, but are not limited to, e.g., supervised learning, unsupervised learning, semi-supervised learning, reinforcement learning, or the like. The artificial intelligence model may include a plurality of artificial neural network layers. The artificial neural network may include, for example, and without limitation, a deep neural network (DNN), a convolutional neural network (CNN), a recurrent neural network (RNN), a restricted Boltzmann machine (RBM), a deep belief network (DBN), a bidirectional recurrent deep neural network (BRDNN), deep Q-network, or the like, or a combination of two or more thereof but is not limited thereto. The artificial intelligence model may, additionally or alternatively, include a software structure other than the hardware structure. 
     According to an embodiment, the processor  720  may include at least one processor to process the operation of a natural language platform (e.g., the natural language platform  220  of  FIG. 2 ), an execution engine (e.g., the execution engine  240  of  FIG. 2 ), an end user interface (e.g., the end user interface  250 ), a management platform (e.g., the management platform  260  of  FIG. 2 ), a big data platform (e.g., the big data platform  270  of  FIG. 2 ), or an analytic platform (e.g., the analytic platform of  FIG. 2 ). 
     According to an embodiment, the processor  720  may receive, through the communication module  710 , and process a first speech input corresponding to the user&#39;s first utterance from the first electronic device  101  and may transmit first response data corresponding to the processing result to the first electronic device  101  through the communication module  710  of the first electronic device  101 . For example, the processor  720  may generate first response data corresponding to a first plan for performing a first task corresponding to the first speech input corresponding to the user&#39;s first utterance or a result of performing an operation according to the first plan, using the natural language platform  250 , the execution engine  240 , the end user interface  250 , the management platform  260 , the big data platform  270 , and/or the analytic platform  280 . For example, the processor  720  may transmit the first response data to the first electronic device  101  through the communication module  710 . 
     According to an embodiment, the processor  720  may identify the second electronic device  102  for detecting a second utterance associated with the first response data (hereinafter, simply referred to as a second utterance) within a designated time after the user&#39;s first utterance. According to an embodiment, the processor  720  may identify the second electronic device  102  for detecting a second utterance associated with the first response data within a designated time after the user&#39;s first utterance. For example, the processor  720  may identify whether a wearable electronic device worn by the user of the first utterance is among a plurality of electronic devices, whether an electronic device is present within a designated distance from the user of the first utterance (or the first electronic device detecting the first utterance) among the plurality of electronic devices, or the second electronic device  102  among the plurality of electronic devices based on a result of identifying a user utterance detected by each of the plurality of electronic devices turning on the microphone after transmitting a control signal (e.g., a wake-up signal) for controlling to detect a user utterance to each of the plurality of electronic devices. 
     According to an embodiment, the processor  720  may transmit a control signal (e.g., a wake-up signal) for controlling to detect the user&#39;s utterance to the identified second electronic device  102  through the communication module  710 . For example, the control signal (e.g., a wake-up signal) for controlling to detect the user&#39;s utterance may be a signal to turn on the microphone to thereby detect the user&#39;s utterance and transmit the detected user utterance to the intelligent server  700  when received by the second electronic device  102 . According to an embodiment, in response to the control signal (e.g., the wake-up signal) for controlling to detect the user&#39;s utterance, the processor  720  may receive a speech input from the second electronic device  102  through the communication module  710 . 
     According to an embodiment, the processor  720  may identify whether the received speech input is a second speech input corresponding to the user&#39;s second utterance. For example, when the speech input received from the second electronic device  102  is a speech input associated with the first speech input response session, the processor  720  may identify that the speech input received from the second electronic device  102  is a second speech input corresponding to the user&#39;s second utterance. For example, the processor  720  may identify whether the speech input received from the second electronic device  102  is a speech input that is received within a designated time after receiving the first speech input (e.g., “Tell me nearby cafés”) corresponding to the user&#39;s first utterance and is associated with the first response data (e.g., “I&#39;ll tell you cafés around the current location,” “coffee shop A,” “coffee shop B,” “coffee shop C”). For example, when the second speech input is a speech input that is received within a designated time after receiving the first speech input and is associated with the first response data, the processor  720  may identify that the speech input (e.g., “Tell me the business hours of that”) received from the second electronic device  102  is the second speech input corresponding to the user&#39;s second utterance. For example, the processor  720  may identify that the speech input received from the second electronic device  102  is the second speech input corresponding to the user&#39;s second utterance, based on whether the speech input received from the second electronic device  102  includes a speech corresponding to an operation interruption, whether the speech input received from the second electronic device  102  includes a speech included in the first response data for the first utterance, or whether the speech input received from the second electronic device  102  includes a speech corresponding to a demonstrative pronoun. 
     According to an embodiment, the processor  720  may process the second speech input corresponding to the second utterance and obtain second response data corresponding to the processing result. For example, the processor  720  may obtain (or generate) second response data (e.g., “The business hours of coffee shop B are from 9:00 AM to 9:00 PM”) corresponding to a second plan for performing a second task regarding the execution of a second command (e.g., “Tell me the business hours of coffee shop B”), corresponding to the first speech input (e.g., “Tell me nearby cafés”), the first response data (e.g., “I&#39;ll tell you cafés around the current location,” “coffee shop A,” “coffee shop B,” “coffee shop C”), and the second speech input (e.g., “Tell me the business hours of that”) or a result of performing an operation according to the second plan, using the natural language platform  220 , the execution engine  240 , the end user interface  250 , the management platform  260 , the big data platform  270 , and/or the analytic platform  280 . For example, the processor  720  may transmit the second response data to the first electronic device  101  (or the second electronic device  102 ) through the communication module  710 . 
     According to an embodiment, the memory  730  may store various data used by at least one component (e.g., the processor  720  or the communication module  710 ) of the intelligent server  700 . The various data may include, for example, software (e.g., the program) and input data or output data for a command related thereto. According to an embodiment, the memory  730  may include a capsule database (e.g., the capsule database  230  of  FIG. 1 ). According to an embodiment, the memory  730  may store instructions configured to, when executed, enable the processor  720  to perform various operations described above and information or data associated with the instructions. 
     According to an example embodiment, an electronic device (e.g., the intelligent server  200  of  FIG. 1  or the intelligent server  700  of  FIG. 7 ) may comprise: a communication module including communication circuitry (e.g., the communication interface  110  of  FIG. 1  or the communication module  710  of  FIG. 7 ), a memory (e.g., the memory  130  of  FIG. 7 ), and at least one processor (e.g., the processor  720  of  FIG. 7 ). The memory may store instructions, which when executed, cause the at least one processor to control the electronic device to: transmit first response data obtained by processing a first speech input corresponding to a first utterance received from a first electronic device to the first electronic device through the communication module, identify a second electronic device comprising circuitry configured to detect a second utterance associated with the first response data within a designated time after the first utterance, transmit a wake-up signal to the second electronic device and receive, from the second electronic device, a speech input corresponding to an utterance obtained by a turn-on of a microphone based on the wake-up signal, identify whether the received speech input corresponding to the utterance is a second speech input corresponding to the second utterance, obtain second response data obtained by processing the second speech input based on the first speech input and the first response data based on the second speech input corresponding to the second utterance being identified, and transmit the second response data to at least one of the first electronic device or the second electronic device through the communication module. 
     According to an example embodiment, the at least one processor may be configured to identify the second electronic device among a plurality of electronic devices associated with a user. 
     According to an example embodiment, the at least one processor may be configured to: convert the first speech input into first text data, identify a first command corresponding to the first speech input by processing the first text data, and obtain the first response data corresponding to a first plan for performing a first task regarding an execution of the first command. 
     According to an example embodiment, the at least one processor may be configured to identify that a wearable electronic device worn by the user of the first utterance among the plurality of electronic devices is the second electronic device. 
     According to an example embodiment, a closest electronic device within a designated distance from the user of the first utterance among the plurality of electronic devices may be identified as the second electronic device. 
     According to an example embodiment, the at least one processor may be configured to control the electronic device to: receive a plurality of utterances detected as each of the plurality of electronic devices turns on a microphone based on a wake-up signal being transmitted to each of the plurality of electronic devices, compare the plurality of user utterances, and identify the second electronic device among the plurality of electronic devices. 
     According to an example embodiment, the at least one processor may be configured to identify that the speech input corresponding to the user utterance is the second speech input corresponding to the second utterance based on the speech input corresponding to the user utterance received from the second electronic device including a speech corresponding to an operation interruption. 
     According to an example embodiment, the at least one processor may be configured to identify that the speech input corresponding to the utterance is the second speech input corresponding to the second utterance based on the speech input corresponding to the user utterance received from the second electronic device including a speech included in the second response data for the first utterance. 
     According to an example embodiment, the at least one processor may be configured to identify that the speech input corresponding to the utterance is the second speech input corresponding to the second utterance based on the speech input corresponding to the user utterance received from the second electronic device including a speech corresponding to a demonstrative pronoun. 
       FIG. 8  is a flowchart illustrating an example operation of processing a user utterance by an intelligent server according to various embodiments. 
     Referring to  FIG. 8 , according to an embodiment, a processor  720  of an intelligent server (e.g., the intelligent server  200  of  FIG. 1  or the intelligent server  700  of  FIG. 7 ) may perform at least one of operations  810  to  890 . 
     In operation  810 , according to an embodiment, the processor  720  may receive a first speech input corresponding to the user&#39;s first utterance from the first electronic device  101  through the communication module  710 . For example, the processor  720  may receive a first speech input (e.g., “Tell me nearby cafés”) corresponding to the user&#39;s first utterance obtained through the microphone  120  based on an intelligent app executed on the first electronic device  101  according to a designated input (or a wake-up command) (e.g., “Bixby”) from the first electronic device  101  through the communication module  710 . For example, the first speech input may be in the form of text data (e.g., first text data). 
     In operation  820 , according to an embodiment, the processor  720  may process the first speech input corresponding to the user&#39;s first utterance to obtain first response data. For example, the processor  720  may obtain (or generate) first response data corresponding to a first plan for performing a first task corresponding to the first speech input corresponding to the user&#39;s first utterance or a result of performing an operation according to the first plan, using the natural language platform  250 , the execution engine  240 , the end user interface  250 , the management platform  260 , the big data platform  270 , and/or the analytic platform  280 . For example, the processor  720  may analyze the first speech input (or first text data) received from the first electronic device to thereby identify a first command corresponding to the first speech input and may obtain first response data corresponding to a first plan for performing a first task regarding the execution of the identified first command or a result of performing an operation according to the first plan. For example, the command may include at least one of a target application, a target function, or a parameter. According to an embodiment, the target application may correspond to the capsule or domain described in  FIG. 1 , and the target function and parameter, respectively, may correspond to the intent and parameters determined by the natural language understanding module  223  of  FIG. 1 . For example, the intelligent server  200  may analyze the first text data to identify a first command including a target application, a target function, and a parameter element, and based on the result of identifying the first command, obtain first response data corresponding to a first plan for performing a first task regarding the execution of the first command or a result of performing an operation according to the first plan. For example, when the first text data corresponding to the first speech input is “Tell me nearby cafés,” the processor  720  may perform a first command including a target application (e.g., a map application), a target function (e.g., search), and a parameter (e.g., a radius of 00 m from the current location, café), as a result of analysis of the first text. The intelligent server  200  may obtain first response data (e.g., “I&#39;ll tell you cafés around the current location,” “coffee shop A,” “coffee shop B,” “coffee shop C”) corresponding to a first plan for performing a first task regarding the execution of the first command or a result of performing an operation according to the first plan. 
     In operation  830 , according to an embodiment, the processor  720  may transmit the first response data obtained as a result of processing the first speech input to the first electronic device  101  through the communication module  710 . 
     In operation  840 , according to an embodiment, the processor  720  may identify the second electronic device  102  for detecting a second utterance associated with the first response data within a designated time after the user&#39;s first utterance. According to an embodiment, the processor  720  may identify at least one more electronic device to detect a third utterance associated with the second response data within a designated time after the user&#39;s second utterance, in addition to the second electronic device  102 . 
     In operation  850 , according to an embodiment, the processor  720  may transmit a control signal (e.g., a wake-up signal) for controlling the second electronic device  102  to detect the user&#39;s utterance to the identified second electronic device  102  through the communication module  710 . According to an embodiment, upon identifying a plurality of electronic devices, the processor  720  may transmit a control signal (e.g., a wake-up signal) for controlling to detect the user&#39;s utterance to each of the plurality of electronic devices through the communication module  710 . For example, the control signal (e.g., a wake-up signal) for controlling to detect the user&#39;s utterance may be a signal to turn on the microphone to thereby detect the user&#39;s utterance and transmit the detected user utterance to the intelligent server  700  when received by the second electronic device  102  (or each of the plurality of electronic devices). 
     In operation  860 , according to an embodiment, the processor  720  may receive a speech input detected from the second electronic device  102  through the communication module  710  (in response to the control signal (e.g., the wake-up signal) for controlling to detect the user&#39;s utterance). 
     In operation  870 , according to an embodiment, the processor  720  may identify whether the speech input received from the second electronic device  102  is a second speech input corresponding to the user&#39;s second utterance. For example, when the speech input received from the second electronic device  102  is a speech input associated with the first speech input response session, the processor  720  may identify that the speech input received from the second electronic device  102  is a second speech input corresponding to the user&#39;s second utterance. For example, the processor  720  may identify whether the speech input (e.g., “Tell me the business hours of that”) received from the second electronic device  102  is a speech input that is received within a designated time after receiving the first speech input (e.g., “Tell me nearby cafés”) corresponding to the user&#39;s first utterance and is associated with the first response data (e.g., “I&#39;ll tell you cafés around the current location,” “coffee shop A,” “coffee shop B,” “coffee shop C”). For example, when the second speech input is a speech input that is received within a designated time after receiving the first speech input and is associated with the first response data, the processor  720  may identify that the speech input (e.g., “Tell me the business hours of that”) received from the second electronic device  102  is the second speech input corresponding to the user&#39;s second utterance. 
     In operation  880 , according to an embodiment, the processor  720  may process the second speech input corresponding to the second utterance and obtain second response data corresponding to the processing result. For example, the processor  720  may obtain (or generate) second response data corresponding to a second plan for performing a second task corresponding to the first speech input, the first response data, and the second speech input or a result of performing an operation according to the second plan, using the natural language platform  250 , the execution engine  240 , the end user interface  250 , the management platform  260 , the big data platform  270 , and/or the analytic platform  280 . For example, the processor  720  may obtain (or generate) second response data (e.g., “The business hours of coffee shop B are from 9:00 AM to 9:00 PM”) corresponding to a second plan for performing a second task regarding the execution of a second command (e.g., “Tell me the business hours of coffee shop B”), corresponding to the first speech input (e.g., “Tell me nearby cafés”), the first response data (e.g., “I&#39;ll tell you cafés around the current location,” “coffee shop A,” “coffee shop B,” “coffee shop C”), and the second speech input (e.g., “Tell me the business hours of that”) or a result of performing an operation according to the second plan. 
     In operation  890 , the processor  720  may transmit the second response data to the first electronic device  101  (or the second electronic device  102 ) through the communication module  710 . 
       FIG. 9  is a flowchart illustrating an example operation of identifying an electronic device to detect a second utterance associated with first response data for a user&#39;s first utterance by an intelligent server according to various embodiments. 
     Referring to  FIG. 9 , according to an embodiment, a processor  720  of an intelligent server (e.g., the intelligent server  200  of  FIG. 1  or the intelligent server  700  of  FIG. 7 ) may perform at least one of operations  910  to  980 . 
     In operation  910 , according to an embodiment, the processor  720  may determine whether a wearable electronic device worn by the user of the first utterance is among a plurality of electronic devices. For example, the plurality of electronic devices may be electronic devices capable of detecting utterances, including a microphone. For example, the processor  720  may identify information about plurality of electronic devices capable of detecting utterances, stored in the memory  730 . For example, the processor  720  may receive the information about the wearable electronic device worn by the user from the first electronic device  101  receiving the first speech input for the user&#39;s first utterance, thereby identifying whether there is the wearable electronic device worn by the user of the first utterance. 
     In operation  920 , according to an embodiment, upon identifying the wearable electronic device worn by the user of the first utterance (“Yes” in operation  910 ), the processor  720  may identify that the identified wearable electronic device is the second electronic device  102  for detecting the second utterance associated with the first response data for the first utterance. 
     In operation  930 , when the wearable electronic device worn by the user of the first utterance is not identified (“No” in operation  910 ), the processor  720  may identify whether an electronic device is present within a designated distance from the user of the first utterance (or the first electronic device detecting the first utterance) among the plurality of electronic devices. For example, the processor  720  may receive information about the electronic device within the designated distance identified via a sensor or communication (e.g., ultra-wideband (UWB) communication) from the first electronic device  101  receiving the first speech input for the user&#39;s first utterance to thereby identify the presence or absence of the electronic device within the designated distance from the user of the first utterance. 
     In operation  940 , according to an embodiment, when there are electronic devices within the designated distance from the user of the first utterance (“Yes” in operation  930 ), the processor  720  may identify that the closest electronic device is the second electronic device  102  for detecting the second utterance associated with the first response data for the first utterance. 
     In operation  950 , according to an embodiment, when the wearable electronic device worn by the user of the first utterance is not identified, and when no electronic device is present within the designated distance from the user of the first utterance (“No” in operation  930 ), the processor  720  may transmit a control signal (e.g., a wake-up signal) for controlling any of a plurality of electronic devices to detect the user&#39;s utterance to each of the plurality of electronic devices. For example, the control signal (e.g., a wake-up signal) for controlling to detect the user&#39;s utterance may be a signal to allow each of the plurality of identified electronic devices to turn on the microphone to thereby detect the user&#39;s utterance and transmit the detected user utterance to the intelligent server  700 . 
     In operation  960 , according to an embodiment, the processor  720  may receive speech inputs corresponding to user utterances individually detected by the plurality of electronic devices. 
     In operation  970 , according to an embodiment, the processor  720  may determine a speech input most similar to the speech input received from the first electronic device  101  among the plurality of received speech inputs. 
     In operation  980 , according to an embodiment, the processor  720  may identify that the electronic device transmitting the speech input most similar to the speech input received from the first electronic device  101  among the plurality of electronic devices is the second electronic device  102  for detecting the second utterance associated with the first response data for the user&#39;s first utterance. 
       FIG. 10  is a flowchart illustrating an example operation of identifying whether a speech input received from a second electronic device is a second speech input corresponding to a user&#39;s second utterance by an intelligent server according to various embodiments. 
     Referring to  FIG. 10 , according to an embodiment, a processor  720  of an intelligent server (e.g., the intelligent server  200  of  FIG. 1  or the intelligent server  700  of  FIG. 7 ) may perform at least one of operations  1010  to  1070 . 
     In operation  1010 , according to an embodiment, the processor  720  may identify whether the speech input received from the second electronic device  102  includes a speech corresponding to an operation interruption. For example, a speech corresponding to an operation interruption may be “stop”, “cancel”, “pause”, or other similar speeches. 
     In operation  1020 , according to an embodiment, when the speech input received from the second electronic device  102  includes a speech corresponding to an operation interruption (“Yes” in operation  1010 ), the processor  720  may identify that the speech input received from the second electronic device  102  is the second speech input corresponding to the user&#39;s second utterance. 
     In operation  1030 , according to an embodiment, when the speech input received from the second electronic device  102  includes no speech corresponding to an operation interruption (“No” in operation  1010 ), the processor  720  may identify whether the speech input received from the second electronic device  102  includes a speech included in the first response data for the first utterance. For example, when the first response data for the first utterance includes “I&#39;ll tell you cafés around the current location,” “coffee shop A,” “coffee shop B,” and “coffee shop C,” the processor  720  may identify whether the speech input received from the second electronic device  102  includes a speech of “coffee shop A,” “coffee shop B,” or “coffee shop C.” 
     In operation  1040 , according to an embodiment, when the speech input received from the second electronic device  102  includes a speech included in the first response data for the first utterance (“Yes” in operation  1030 ), the processor  720  may identify that the speech input received from the second electronic device  102  is the second speech input corresponding to the user&#39;s second utterance. 
     In operation  1050 , according to an embodiment, when the speech input received from the second electronic device  102  does not include a speech corresponding to an operation interruption nor a speech included in the first response data for the first utterance (“No” in operation  1030 ), the processor  720  may identify whether the speech input received from the second electronic device  102  includes a speech corresponding to a demonstrative pronoun. For example, the speech corresponding to a demonstrative pronoun may be a speech indicating “this,” “that,” or other similar demonstrative pronouns. 
     In operation  1060 , according to an embodiment, when the speech input received from the second electronic device  102  includes a speech corresponding to a demonstrative pronoun (“Yes” in operation  1050 ), the processor  720  may identify that the speech input received from the second electronic device  102  is the second speech input corresponding to the user&#39;s second utterance. 
     In operation  1070 , according to an embodiment, when the speech input received from the second electronic device  102  includes none of a speech corresponding to an operation interruption, a speech included in the first response data for the first utterance, and a speech corresponding to a demonstrative pronoun (“No” in operation  1050 ), the processor  720  may identify that the speech input received from the second electronic device  102  is not the second speech input corresponding to the user&#39;s second utterance. 
     According to an example embodiment, a method for processing a user utterance by an electronic device (e.g., the intelligent server  200  of  FIG. 1  or the intelligent server  700  of  FIG. 7 ) may comprise: transmitting first response data obtained by processing a first speech input corresponding to a first utterance received from a first electronic device (e.g., the first electronic device  101  of  FIG. 4 ) to the first electronic device through a communication module (e.g., the communication module  710  of  FIG. 7 ), identifying a second electronic device (e.g., the second electronic device  102  of  FIG. 4 ) for detecting a second utterance associated with the first response data within a designated time after the first utterance, transmitting a wake-up signal to the second electronic device and receiving, from the second electronic device, a speech input corresponding to an utterance obtained by a turn-on of a microphone based on the wake-up signal, identifying whether the received speech input corresponding to the user utterance is a second speech input corresponding to the second utterance, obtaining second response data obtained by processing the second speech input based on the first speech input and the first response data based on the second speech input corresponding to the second utterance being identified, and transmitting the second response data to at least one of the first electronic device or the second electronic device through the communication module. 
     According to an example embodiment, the second electronic device may be identified among a plurality of electronic devices associated with the user. 
     According to an example embodiment, the method may further comprise converting the first speech input into first text data, identifying a first command corresponding to the first speech input by processing the first text data, and obtaining the first response data corresponding to a first plan for performing a first task regarding an execution of the first command. 
     According to an example embodiment, a wearable electronic device worn by the user of the first utterance among the plurality of electronic devices may be identified as the second electronic device. 
     According to an example embodiment, a closest electronic device within a designated distance from the user of the first utterance among the plurality of electronic devices may be identified as the second electronic device. 
     According to an example embodiment, the method may further comprise receiving a plurality of utterances detected as each of the plurality of electronic devices turns on a microphone after a wake-up signal is transmitted to each of the plurality of electronic devices, comparing the plurality of user utterances, and identifying the second electronic device among the plurality of electronic devices. 
     According to an example embodiment, the speech input corresponding to the user utterance may be identified as the second speech input corresponding to the second utterance based on the speech input corresponding to the user utterance received from the second electronic device including a speech corresponding to an operation interruption. 
     According to an example embodiment, the speech input corresponding to the user utterance may be identified as the second speech input corresponding to the second utterance based on the speech input corresponding to the user utterance received from the second electronic device including a speech included in the second response data for the first utterance. 
     According to an example embodiment, the speech input corresponding to the user utterance may be identified as the second speech input corresponding to the second utterance based on the speech input corresponding to the user utterance received from the second electronic device including a speech corresponding to a demonstrative pronoun. 
       FIG. 11  is a block diagram illustrating an example configuration of an electronic device according to various embodiments. 
     Referring to  FIG. 11 , an electronic device  1100  (e.g., the user terminal  100  of  FIG. 1 , the first electronic device  101  of  FIG. 4 , or the second electronic device  102  of  FIG. 5 ) may include a communication module (e.g., including communication circuitry)  1110 , a processor (e.g., including processing circuitry)  1120 , a memory  1130 , a microphone  1140 , a speaker  1150 , and a display  1160 . 
     According to an embodiment, the communication module  1110  (e.g., the communication interface  110  of  FIG. 1 ) may include various communication circuitry and support an establishment of a direct (e.g., wired) communication channel or wireless communication channel with an external electronic device (e.g., the intelligent server  200 ) and communication via the established communication channel. The communication module  1110  may include one or more communication processors supporting direct (e.g., wired) communication or wireless communication. According to an embodiment, the communication module  1110  may include a wireless communication module (e.g., a cellular communication module, a short-range wireless communication module, or a global navigation satellite system (GNSS) communication module) or a wired communication module (e.g., a local area network (LAN) communication module or a power line communication (PLC) module). 
     According to an embodiment, the processor  1120  (e.g., the processor  160  of  FIG. 1 ) may include various processing circuitry and control at least one other component (e.g., a hardware or software component) of the electronic device  1000  connected to the processor  720  and perform various data processing or computation. According to an embodiment, as at least part of data processing or computation, the processor  1120  may operate based on a command or data received from another component (e.g., the communication module  1110 ). 
     According to an embodiment, the processor  1120  may obtain a first speech input corresponding to a first user utterance through the microphone  1140  (e.g., the microphone  120  of  FIG. 1 ). For example, the processor  1120  may execute an intelligent app according to a designated input (or a wake-up command) (e.g., “Bixby”) and obtain a first speech input (e.g., “Tell me nearby cafés”) corresponding to the first speech input from the user through the microphone  1140 . According to an embodiment, the processor  1120  may transmit the first speech input to the intelligent server  200 . For example, the processor  1120  may convert the first speech input into first text data and transmit it to the intelligent server  200 . According to an embodiment, the processor  1120  may receive first response data corresponding to the first speech input from the intelligent server  200 . For example, the first response data may include a first plan for performing a first task regarding execution of a first command identified by analyzing the first speech input by the intelligent server  200  or a result of performing an operation according to the first plan. According to an embodiment, the processor  1120  may output the first response data. For example, when the first response data includes the first plan for performing the first task, the processor  1120  may perform an operation according to the first plan and output a sound and/or screen corresponding to the result of performing the operation (e.g., “I&#39;ll tell you cafés around the current location, “coffee shop A,” “coffee shop B,” “coffee shop C”) through the speaker  1150  and/or the display  1160 . For example, when the first response data includes the result of performing the operation according to the first plan, the processor  1120  may output a sound and/or screen corresponding to the first response data (e.g., “I&#39;ll tell you cafés around the current location” “coffee shop A,” “coffee shop B,” “coffee shop C”) through the speaker  1150  and/or the display  1160 . 
     According to an embodiment, the processor  1120  may receive second response data based on the first speech input, the first response data, and the second speech input corresponding to the second utterance obtained by the second electronic device  102 , from the intelligent server  200 . For example, the processor  1120  may receive, from the intelligent server  200 , second response data corresponding to a second plan for performing a second task corresponding to the first speech input, the first response data, and the second speech input corresponding to the second utterance obtained by the second electronic device  102  or a result of performing an operation according to the second plan. For example, the processor  1120  may receive second response data (e.g., “The business hours of coffee shop B are from 9:00 AM to 9:00 PM”) corresponding to a second plan for performing a second task regarding execution of a second command (e.g., “Tell me the business hours of coffee shop B”) obtained corresponding to the first speech input (e.g., “Tell me nearby cafés”), the first response data (e.g., “I&#39;ll tell you cafés around the current location,” “coffee shop A,” “coffee shop B,” “coffee shop C”), and the second speech input (e.g., “Tell me the business hours of that”) corresponding to the second utterance obtained by the second electronic device  102  or a result of performing an operation according to the second plan. 
     According to an embodiment, the processor  1120  may output the second response data. According to an embodiment, when the second response data includes the second plan for performing the second task, the processor  1120  may perform an operation according to the second plan and output a sound and/or screen corresponding to the result of performing the operation (e.g., “The business hours of coffee shop B are from 9:00 AM to 9:00 PM”) through the speaker  1150  and/or the display  1160 . For example, when the second response data includes the result of performing the operation according to the second plan, the processor  1120  may output a sound and/or screen corresponding to the second response data (e.g., “The business hours of coffee shop B are from 9:00 AM to 9:00 PM”) through the speaker  1150  and/or the display  1160 . 
     According to an embodiment, the processor  1120  may receive a control signal (e.g., a wake-up signal) for controlling to detect the user&#39;s utterance from the intelligent server  200  through the communication module  1110 . According to an embodiment, the processor  1120  may execute an intelligent app in response to reception of a wake-up signal from the intelligent server  200 , instead of a designated user input (or a wake-up command) (e.g., “Bixby”), obtain a speech input corresponding to the user utterance through the microphone  1140 , and transmit the obtained speech input to the intelligent server  200 . According to an embodiment, the processor  1120  may receive the first speech input (e.g., “Tell me nearby cafés”) and first response data (e.g., “I&#39;ll tell you cafés around the current location,” “coffee shop A,” “coffee shop B,” “coffee shop C”) from the intelligent server  200 . According to an embodiment, the processor  1120  may identify whether the obtained speech input (e.g., “Tell me the business hours of that”) is the second speech input corresponding to the user&#39;s second utterance. For example, when the obtained speech input (e.g., “Tell me the business hours of that”) corresponding to the user utterance is a speech input associated with the first speech input response session, the processor  1120  may identify that the obtained speech input (e.g., “Tell me the business hours of that”) corresponding to the user utterance is the second speech input corresponding to the user&#39;s second utterance. For example, when the obtained speech input (e.g., “Tell me the business hours of that”) corresponding to the user utterance is received within a designated time after receiving the first speech input (e.g., “Tell me nearby cafés”) corresponding to the user&#39;s first utterance and is a speech input associated with the first response data (e.g., “I&#39;ll tell you cafés around the current location,” “coffee shop A,” “coffee shop B,” “coffee shop C”), the processor  1120  may identify that the speech input (e.g., “Tell me the business hours of that”) received from the second electronic device  102  is the second speech input corresponding to the user&#39;s second utterance. According to an embodiment, the processor  1120  may transmit the identified second speech input corresponding to the user speech to the intelligent server  200 . 
     According to an embodiment, the memory  1130  (e.g., the memory  150  of  FIG. 1 ) may store instructions which, when executed, cause the processor  1120  to perform or control the electronic device  110  to perform various operations described above and information or data associated with the instructions. 
     According to an embodiment, the microphone  1140  (e.g., the microphone  120  of  FIG. 1 ) may detect the user&#39;s utterance and receive a speech signal corresponding to the user&#39;s utterance. For example, the microphone  1140  may include a speech input system that operates based on the control of the processor  1120  and may receive a speech signal corresponding to the user&#39;s utterance through the speech input system. 
     According to an embodiment, the speaker  1150  (e.g., the speaker  130  of  FIG. 1 ) may output at least one sound based on the control of the processor  1120 . For example, the speaker  1150  may output a sound corresponding to the response data (e.g., the first response data or the second response data) generated inside the electronic device  1100  based on the control of the processor  1120  or received from the outside (e.g., the intelligent server  200 ) via communication. 
     According to an embodiment, the display  1160  (e.g., the display  140  of  FIG. 1 ) may turn on at least one or more lighting devices or display an image based on the control of the processor  1120 . For example, the display  1160  may turn on at least one or more lighting devices or display an image corresponding to the response data (e.g., the first response data or second response data) received via communication from the outside (e.g., the intelligent server  200 ) or generated inside the electronic device  1100  based on the control of the processor  1120 . 
       FIG. 12  is a flowchart illustrating an example operation of outputting a first speech input obtained from an electronic device, first response data corresponding to the first speech input, and second response data based on a second speech input obtained from an external electronic device, according to various embodiments. 
     Referring to  FIG. 12 , according to an embodiment, a processor  1120  (e.g., the processor  160  of  FIG. 1 ) of an electronic device  1100  (e.g., the user terminal  100  of  FIG. 1 ) may perform at least one of operations  1210  to  1260 . For example, operations  1210  to  1260  may regard a case in which the electronic device  1100  operates as the first electronic device  101 . 
     In operation  1210 , according to an embodiment, the processor  1120  may obtain a first speech input corresponding to a first user utterance through the microphone  1140  (e.g., the microphone  120  of  FIG. 1 ). For example, the processor  1120  may execute an intelligent app according to a designated input (or a wake-up command) (e.g., “Bixby”) and obtain a first speech input (e.g., “Tell me nearby cafés”) corresponding to the first speech input from the user through the microphone  120 . 
     In operation  1220 , according to an embodiment, the processor  1120  may transmit the first speech input to the intelligent server  200 . For example, the processor  1120  may convert the first speech input into first text data and transmit it to the intelligent server  200 . 
     In operation  1230 , according to an embodiment, the processor  1120  may receive first response data corresponding to the first speech input from the intelligent server  200 . For example, the first response data may include a first plan for performing a first task regarding execution of a first command identified by analyzing the first speech input (e.g., “Tell me nearby cafés”) by the intelligent server  200  or a result (e.g., “I&#39;ll tell you cafés around the current location,” “coffee shop A,” “coffee shop B,” “coffee shop C”) of performing an operation according to the first plan. 
     In operation  1240 , according to an embodiment, the processor  1120  may output the first response data. For example, when the first response data includes the first plan for performing the first task, the processor  1120  may perform an operation according to the first plan and output a sound and/or screen corresponding to the result of performing the operation (e.g., “I&#39;ll tell you cafés around the current location, “coffee shop A,” “coffee shop B,” “coffee shop C”) through the speaker  1150  and/or the display  1160 . For example, when the first response data includes the result of performing the operation according to the first plan, the processor  1120  may output a sound and/or screen corresponding to the first response data (e.g., “I&#39;ll tell you cafés around the current location” “coffee shop A,” “coffee shop B,” “coffee shop C”) through the speaker  1150  and/or the display  1160 . 
     In operation  1250 , according to an embodiment, the processor  1120  may receive second response data based on the first speech input, the first response data, and the second speech input corresponding to the second utterance obtained by an external electronic device (e.g., the second electronic device  102 ), from the intelligent server  200 . For example, the processor  1120  may receive, from the intelligent server  200 , second response data corresponding to a second plan for performing a second task corresponding to the first speech input, the first response data, and the second speech input corresponding to the second utterance obtained by the second electronic device  102  or a result of performing an operation according to the second plan. For example, the processor  1120  may receive second response data (e.g., “The business hours of coffee shop B are from 9:00 AM to 9:00 PM”) corresponding to a second plan for performing a second task regarding execution of a second command (e.g., “Tell me the business hours of coffee shop B”) obtained corresponding to the first speech input (e.g., “Tell me nearby cafés”), the first response data (e.g., “I&#39;ll tell you cafés around the current location,” “coffee shop A,” “coffee shop B,” “coffee shop C”), and the second speech input (e.g., “Tell me the business hours of that”) corresponding to the second utterance obtained by the second electronic device  102  or a result of performing an operation according to the second plan. 
     In operation  1260 , according to an embodiment, the processor  1120  may output the second response data. For example, when the second response data includes the second plan for performing the second task, the processor  1120  may perform an operation according to the second plan and output a sound and/or screen corresponding to the result of performing the operation (e.g., “The business hours of coffee shop B are from 9:00 AM to 9:00 PM”) through the speaker  1150  and/or the display  1160 . For example, when the second response data includes the result of performing the operation according to the second plan, the processor  1120  may output a sound and/or screen corresponding to the second response data (e.g., “The business hours of coffee shop B are from 9:00 AM to 9:00 PM”) through the speaker  1150  and/or the display  1160 . 
       FIG. 13  is a flowchart illustrating an example operation of obtaining a speech input based on a control signal to control a user utterance from an intelligent server, by an electronic device, according to various embodiments. 
     Referring to  FIG. 13 , according to an embodiment, a processor  1120  (e.g., the processor  160  of  FIG. 1 ) of an electronic device  1100  (e.g., the user terminal  100  of  FIG. 1 ) may perform at least one of operations  1310  to  1350 . For example, operations  1310  to  1330  may regard a case in which the electronic device  1100  operates as the second electronic device  102 . 
     In operation  1310 , according to an embodiment, the processor  1120  may receive a control signal (e.g., a wake-up signal) for controlling the electronic device  1100  to detect the user&#39;s utterance from the intelligent server  200  through the communication module  1110 . 
     In operation  1320 , according to an embodiment, the processor  1120  may obtain a speech input corresponding to the user utterance through the microphone  1140  in response to reception of a control signal (e.g., a wake-up signal) for controlling to detect the user&#39;s utterance. For example, the processor  1120  may execute an intelligent app in response to reception of a wake-up signal from the intelligent server  200 , instead of a designated user input (or a wake-up command) (e.g., “Bixby”) and obtain a speech input corresponding to the user utterance through the microphone  1140 . 
     In operation  1330 , according to an embodiment, the processor  1120  may transmit the obtained speech input to the intelligent server  200 . For example, the processor  1120  may transmit the obtained speech input, as it is, to the intelligent server or may identify whether the obtained speech input is a speech input that is received within a designated time after receiving the first speech input corresponding to the user&#39;s first utterance and is associated with the first response data, e.g., whether the speech input is the second speech input corresponding to the user&#39;s second utterance, and transmit the identified second speech input corresponding to the user&#39;s second utterance to the intelligent server  200 . For example, the processor  1120  may receive the first speech input (e.g., “Tell me nearby cafés”) and first response data (e.g., “I&#39;ll tell you cafés around the current location,” “coffee shop A,” “coffee shop B,” “coffee shop C”) from the intelligent server  200 . For example, when the obtained speech input (e.g., “Tell me the business hours of that”) corresponding to the user utterance is a speech input associated with the first speech input response session, the processor  1120  may identify that the obtained speech input (e.g., “Tell me the business hours of that”) corresponding to the user utterance is the second speech input corresponding to the user&#39;s second utterance. For example, when the obtained speech input (e.g., “Tell me the business hours of that”) corresponding to the user utterance is received within a designated time after receiving the first speech input (e.g., “Tell me nearby cafés”) corresponding to the user&#39;s first utterance and is a speech input associated with the first response data (e.g., “I&#39;ll tell you cafés around the current location,” “coffee shop A,” “coffee shop B,” “coffee shop C”), the processor  1120  may identify that the speech input (e.g., “Tell me the business hours of that”) received from the second electronic device  102  is the second speech input corresponding to the user&#39;s second utterance. According to an embodiment, the processor  1120  may transmit the identified second speech input corresponding to the user speech to the intelligent server  200 . 
       FIG. 14  is a diagram illustrating an example of detecting an utterance associated with a shopping list and outputting response data associated with the shopping list using a first electronic device, a second electronic device, and a third electronic device according to various embodiments. 
     Referring to  FIG. 14 , according to an embodiment, a first electronic device  1401  (e.g., the user terminal  100  of  FIG. 1 , or the first electronic device  101  of  FIG. 4 ) (or a first processor of the first electronic device  1401 ) may obtain a first speech input corresponding to a first user utterance through a microphone (e.g., the microphone  120  of  FIG. 1  or the microphone  1150  of  FIG. 11 ). For example, the first electronic device  1401  may execute an intelligent app according to a designated input (or a wake-up command) (e.g., “Bixby”) and obtain a first speech input (e.g., “I want to edit the shopping list”) corresponding to the first speech input from the user through the microphone. 
     According to an embodiment, the first electronic device  1401  may transmit the first speech input (e.g., “I want to edit the shopping list”)  1411  corresponding to the first user utterance from the user to the intelligent server  200 . For example, the processor  1120  may convert the first speech input  1411  into first text data and transmit it to the intelligent server  200 . 
     According to an embodiment, the first electronic device  1401  may receive first response data corresponding to the first speech input  1411  from the intelligent server  200 . For example, the first response data  1412  may include a first plan for performing a first task regarding execution of a first command identified by analyzing the first speech input (e.g., “I want to edit the shopping list”)  1411  by the intelligent server  200  or a result (e.g., “Two items are on the shopping list,” “four applies,” “three corns”) of performing an operation according to the first plan. According to an embodiment, the first electronic device  1401  may output the first response data  1412  (e.g., “Two items are on the shopping list,” “four applies,” “three corns”). 
     According to an embodiment, the second electronic device  1402  (e.g., the user terminal  100  of  FIG. 1  or the second electronic device  102  of  FIG. 4 ) (or a second processor of the second electronic device  1402 ) may receive a control signal (e.g., a wake-up signal) for controlling to detect the user&#39;s utterance from the intelligent server  200 . For example, the second electronic device  1402  may be identified as an electronic device for obtaining a speech input that is received within a designated time after receiving the first speech input  1411  corresponding to the user&#39;s first utterance by the intelligent server  200  and is associated with the first response data  1412 , e.g., the second speech input corresponding to the user&#39;s second utterance and, as it is identified as an electronic device for obtaining the second speech input corresponding to the user&#39;s second utterance, it may receive a control signal (e.g., a wake-up signal) for controlling to detect the user&#39;s utterance. 
     According to an embodiment, the second electronic device  1402  may execute an intelligent app in response to reception of the wake-up signal from the intelligent server  200 , instead of a designated user input (or a wake-up command) (e.g., “Bixby”) and obtain a speech input  1413  (e.g., “Delete the corns”) corresponding to the user utterance through the microphone. According to an embodiment, the second electronic device  1402  may transmit the obtained speech input  1413  (e.g., “Delete the corns”) to the intelligent server  200  or may identify whether the obtained speech input is a speech input that is received within a designated time after receiving the first speech input corresponding to the user&#39;s first utterance and is associated with the first response data, e.g., whether the speech input is the second speech input corresponding to the user&#39;s second utterance, and transmit the identified second speech input  1413  (e.g., “Delete the corns”) corresponding to the user&#39;s second utterance to the intelligent server  200 . 
     According to an embodiment, the second electronic device  1402  (or the first electronic device  1401 ) may receive, from the intelligent server  200 , second response data  1414  (e.g., “Ok. Corns deleted”) based on the first speech input  1411  (e.g., “I want to edit the shopping list”), the first response data  1412  (e.g., “Two items are on the shopping list,” “four applies,” “three corns”) and the second speech input  1413  (e.g., “Delete the corns”) corresponding to the second utterance obtained by the second electronic device  1402 . For example, the second electronic device  1402  may receive, from the intelligent server  200 , second response data  1414  corresponding to a second plan for performing a second task corresponding to the first speech input  1411 , the first response data  1412 , and the second speech input  1413  corresponding to the second utterance obtained by the second electronic device  1402  or a result of performing an operation according to the second plan. According to an embodiment, the second electronic device  1402  may output the second response data  1414  (e.g., “Ok. Corns deleted”). 
     According to an embodiment, a third electronic device  1403  (e.g., the user terminal  100  of  FIG. 1  or the Nth electronic device  103  of  FIG. 4 ) (or a third processor of the third electronic device  1403 ) may receive a control signal (e.g., a wake-up signal) for controlling to detect the user&#39;s utterance from the intelligent server  200 . For example, the third electronic device  1403  may be identified as an electronic device for obtaining a speech input that is received within a designated time after receiving the second speech input  1413  corresponding to the user&#39;s second utterance by the intelligent server  200  and is associated with the second response data  1414 , e.g., the third speech input corresponding to the user&#39;s third utterance and, as it is identified as an electronic device for obtaining the third speech input corresponding to the user&#39;s third utterance, it may receive a control signal (e.g., a wake-up signal) for controlling to detect the user&#39;s utterance. 
     According to an embodiment, the third electronic device  1403  may execute an intelligent app in response to reception of the wake-up signal from the intelligent server  200 , instead of a designated user input (or a wake-up command) (e.g., “Bixby”) and obtain a speech input  1415  (e.g., “Add a watermelon”) corresponding to the user utterance through the microphone. According to an embodiment, the third electronic device  1403  may transmit the obtained speech input  1415  (e.g., “Add a watermelon”) to the intelligent server  200  or may identify whether the obtained speech input is a speech input that is received within a designated time after receiving the second speech input corresponding to the user&#39;s second utterance and is associated with the second response data, e.g., whether the speech input is the third speech input corresponding to the user&#39;s third utterance, and transmit the identified third speech input  1415  (e.g., “Add a watermelon”) corresponding to the user&#39;s third utterance to the intelligent server  200 . 
     According to an embodiment, the third electronic device  1403  (or the second electronic device  1402 ) may receive, from the intelligent server  200 , third response data  1416  (e.g., “Ok. A watermelon added”) corresponding to the first speech input  1411  (e.g., “I want to edit the shopping list”), the first response data  1412  (e.g., “Two items are on the shopping list,” “four apples,” “three corns”), the second speech input  1413  (e.g., “Delete the corns”), the second response data  1414  (e.g., “Ok. Corns deleted”), and the third speech input  1415  (e.g., “Add a watermelon”). For example, the third electronic device  1403  may receive, from the intelligent server  200 , the third response data  1416  corresponding to a second plan for performing a second task corresponding to the first speech input  1411 , the first response data  1412 , the second speech input  1413 , the second response data  1414 , and the third speech input  1415  or a result of performing an operation according to the second plan. According to an embodiment, the third electronic device  1403  may output the third response data  1416  (e.g., “Ok. A watermelon added”). 
       FIG. 15  is a diagram illustrating an example of detecting an utterance associated with searching for restaurants and outputting response data associated with the restaurant search using a first electronic device and a second electronic device according to various embodiments. 
     Referring to  FIG. 15 , according to an embodiment, a first electronic device  1501  (e.g., the user terminal  100  of  FIG. 1 , or the first electronic device  101  of  FIG. 4 ) (or a first processor of the first electronic device  1501 ) may obtain a first speech input corresponding to a first user utterance through a microphone (e.g., the microphone  120  of  FIG. 1  or the microphone  1150  of  FIG. 11 ). For example, the first electronic device  1501  may execute an intelligent app according to a designated input (or a wake-up command) (e.g., “Bixby”) and obtain a first speech input  1511  (e.g., “Search for restaurants in Jamsil”) corresponding to the first speech input from the user through the microphone. 
     According to an embodiment, the first electronic device  1501  may transmit the first speech input (e.g., “Search for restaurants in Jamsil”)  1511  corresponding to the first user utterance from the user to the intelligent server  200 . For example, the processor  1120  may convert the first speech input  1511  into first text data and transmit it to the intelligent server  200 . 
     According to an embodiment, the first electronic device  1501  may receive first response data corresponding to the first speech input  1511  from the intelligent server  200 . For example, the first response data  1512  may include a first plan for performing a first task regarding execution of a first command identified by analyzing the first speech input (e.g., “Search for restaurants in Jamsil”)  1511  by the intelligent server  200  or a result (e.g., “Three restaurants found,” “restaurant A,” “restaurant B,” “restaurant C”) of performing an operation according to the first plan. According to an embodiment, the first electronic device  1501  may output the first response data  1512  (e.g., “Three restaurants found,” “restaurant A,” “restaurant B,” “restaurant C”). 
     According to an embodiment, the second electronic device  1502  (e.g., the user terminal  100  of  FIG. 1  or the second electronic device  102  of  FIG. 4 ) (or a second processor of the second electronic device  1502 ) may receive a control signal (e.g., a wake-up signal) for controlling to detect the user&#39;s utterance from the intelligent server  200 . For example, the second electronic device  1502  may be identified as an electronic device for obtaining a speech input that is received within a designated time after receiving the first speech input  1511  corresponding to the user&#39;s first utterance by the intelligent server  200  and is associated with the first response data  1512 , e.g., the second speech input corresponding to the user&#39;s second utterance and, as it is identified as an electronic device for obtaining the second speech input corresponding to the user&#39;s second utterance, it may receive a control signal (e.g., a wake-up signal) for controlling to detect the user&#39;s utterance. 
     According to an embodiment, the second electronic device  1502  may execute an intelligent app in response to reception of the wake-up signal from the intelligent server  200 , instead of a designated user input (or a wake-up command) (e.g., “Bixby”) and obtain a speech input  1513  (e.g., “Tell me more about restaurant C”) corresponding to the user utterance through the microphone. According to an embodiment, the second electronic device  1502  may transmit the obtained speech input  1513  (e.g., “Tell me more about restaurant C”) to the intelligent server  200  or may identify whether the obtained speech input is a speech input that is received within a designated time after receiving the first speech input corresponding to the user&#39;s first utterance and is associated with the first response data, e.g., whether the speech input is the second speech input corresponding to the user&#39;s second utterance, and transmit the identified second speech input  1513  (e.g., “Tell me more about restaurant C”) corresponding to the user&#39;s second utterance to the intelligent server  200 . 
     According to an embodiment, the second electronic device  1502  (or the first electronic device  1501 ) may receive, from the intelligent server  200 , second response data  1514  (e.g., “Restaurant C has 211 reviews and was rated 4.7”) based on the first speech input  1511  (e.g., “Search for restaurants in Jamsil”), the first response data  1512  (e.g., “Three restaurants found,” “restaurant A,” “restaurant B,” “restaurant C”) and the second speech input  1513  (e.g., “Restaurant C has 211 reviews and was rated 4.7”) corresponding to the second utterance obtained by the second electronic device  1502 . For example, the second electronic device  1502  may receive, from the intelligent server  200 , second response data  1514  corresponding to a second plan for performing a second task corresponding to the first speech input  1511 , the first response data  1512 , and the second speech input  1513  corresponding to the second utterance obtained by the second electronic device  1502  or a result of performing an operation according to the second plan. According to an embodiment, the second electronic device  1502  may output the second response data  1514  (e.g., “Restaurant C has 211 reviews and was rated 4.7”). 
       FIG. 16  is a diagram illustrating an example of detecting an utterance associated with an alarm setting and outputting response data associated with the alarm setting using a first electronic device, a second electronic device, and a third electronic device according to various embodiments. 
     Referring to  FIG. 16 , according to an embodiment, a first electronic device  1601  (e.g., the user terminal  100  of  FIG. 1 , or the first electronic device  101  of  FIG. 4 ) (or a first processor of the first electronic device  1601 ) may obtain a first speech input corresponding to a first user utterance through a microphone (e.g., the microphone  120  of  FIG. 1  or the microphone  1150  of  FIG. 11 ). For example, the first electronic device  1601  may execute an intelligent app according to a designated input (or a wake-up command) (e.g., “Bixby”) and obtain a first speech input  1611  (e.g., “Edit alarm”) corresponding to the first speech input from the user through the microphone. 
     According to an embodiment, the first electronic device  1601  may transmit the first speech input  1611  (e.g., “Edit alarm”) corresponding to the first user utterance from the user to the intelligent server  200 . For example, the first electronic device  1601  may convert the first speech input  1611  into first text data and transmit it to the intelligent server  200 . 
     According to an embodiment, the first electronic device  1601  may receive first response data corresponding to the first speech input  1611  from the intelligent server  200 . 
     For example, the first response data  1612  may include a first plan for performing a first task regarding execution of a first command identified by analyzing the first speech input  1611  (e.g., “Edit alarm”) by the intelligent server  200  or a result (e.g., “Two alarms exist,” “7:30 AM today,” “1:15 PM today”) of performing an operation according to the first plan. According to an embodiment, the first electronic device  1601  may output the first response data  1612  (e.g., “Two alarms exist,” “7:30 AM today,” “1:15 PM today”). 
     According to an embodiment, the second electronic device  1602  (e.g., the user terminal  100  of  FIG. 1  or the second electronic device  102  of  FIG. 4 ) (or a second processor of the second electronic device  1602 ) may receive a control signal (e.g., a wake-up signal) for controlling to detect the user&#39;s utterance from the intelligent server  200 . For example, the second electronic device  1602  may be identified as an electronic device for obtaining a speech input that is received within a designated time after receiving the first speech input  1611  corresponding to the user&#39;s first utterance by the intelligent server  200  and is associated with the first response data  1612 , e.g., the second speech input corresponding to the user&#39;s second utterance and, as it is identified as an electronic device for obtaining the second speech input corresponding to the user&#39;s second utterance, it may receive a control signal (e.g., a wake-up signal) for controlling to detect the user&#39;s utterance. 
     According to an embodiment, the second electronic device  1602  may execute an intelligent app in response to reception of the wake-up signal from the intelligent server  200 , instead of a designated user input (or a wake-up command) (e.g., “Bixby”) and obtain a speech input  1613  (e.g., “Delete the afternoon alarm”) corresponding to the user utterance through the microphone. According to an embodiment, the second electronic device  1602  may transmit the obtained speech input  1613  (e.g., “Delete the afternoon alarm”) to the intelligent server  200  or may identify whether the obtained speech input is a speech input that is received within a designated time after receiving the first speech input corresponding to the user&#39;s first utterance and is associated with the first response data, e.g., whether the speech input is the second speech input corresponding to the user&#39;s second utterance, and transmit the identified second speech input  1613  (e.g., “Delete the afternoon alarm”) corresponding to the user&#39;s second utterance to the intelligent server  200 . 
     According to an embodiment, the second electronic device  1602  (or the first electronic device  1601 ) may receive, from the intelligent server  200 , second response data  1614  (e.g., “Ok. The afternoon alarm deleted,” “Do you want to know more results”) based on the first speech input  1611  (e.g., “Edit alarm”), the first response data  1612  (e.g., “Two alarms exist,” “7:30 AM today,” “1:15 PM today”) and the second speech input  1613  (e.g., “Delete the afternoon alarm”) corresponding to the second utterance obtained by the second electronic device  1602 . For example, the second electronic device  1602  may receive, from the intelligent server  200 , second response data  1614  corresponding to a second plan for performing a second task corresponding to the first speech input  1611 , the first response data  1612 , and the second speech input  1613  corresponding to the second utterance obtained by the second electronic device  1602  or a result of performing an operation according to the second plan. According to an embodiment, the second electronic device  1602  may output the second response data  1614  (e.g., “Ok. The afternoon alarm deleted,” “Do you want to know more results”). 
     According to an embodiment, a third electronic device  1603  (e.g., the user terminal  100  of  FIG. 1  or the Nth electronic device  103  of  FIG. 4 ) (or a third processor of the third electronic device  1603 ) may receive a control signal (e.g., a wake-up signal) for controlling to detect the user&#39;s utterance from the intelligent server  200 . For example, the third electronic device  1603  may be identified as an electronic device for obtaining a speech input that is received within a designated time after receiving the second speech input  1613  corresponding to the user&#39;s second utterance by the intelligent server  200  and is associated with the second response data  1614 , e.g., the third speech input corresponding to the user&#39;s third utterance and, as it is identified as an electronic device for obtaining the third speech input corresponding to the user&#39;s third utterance, it may receive a control signal (e.g., a wake-up signal) for controlling to detect the user&#39;s utterance. 
     According to an embodiment, the third electronic device  1603  may execute an intelligent app in response to reception of the wake-up signal from the intelligent server  200 , instead of a designated user input (or a wake-up command) (e.g., “Bixby”) and obtain a speech input  1615  (e.g., “No. That&#39;s it”) corresponding to the user utterance through the microphone. According to an embodiment, the third electronic device  1603  may transmit the obtained speech input  1615  (e.g., “No. That&#39;s it”) to the intelligent server  200  or may identify whether the obtained speech input is a speech input that is received within a designated time after receiving the second speech input corresponding to the user&#39;s second utterance and is associated with the second response data, e.g., whether the speech input is the third speech input corresponding to the user&#39;s third utterance, and transmit the identified third speech input  1615  (e.g., “No. That&#39;s it”) corresponding to the user&#39;s third utterance to the intelligent server  200 . 
     According to an embodiment, the third electronic device  1603  (or the second electronic device  1602 ) may receive, from the intelligent server  200 , third response data  1616  corresponding to the first speech input  1611  (e.g., “Edit alarm”), the first response data  1612  (e.g., “Two alarm exist,” “7:30 AM today,” “1:15 PM today”), the second speech input  1613  (e.g., “Delete the afternoon alarm”), the second response data  1614  (e.g., “The afternoon alarm deleted,” “Do you want to know more results”), and the third speech input  1615  (e.g., “No. That&#39;s it”). For example, the third electronic device  1603  may receive, from the intelligent server  200 , the third response data  1616  corresponding to a second plan for performing a second task corresponding to the first speech input  1611 , the first response data  1612 , the second speech input  1613 , the second response data  1614 , and the third speech input  1615  or a result of performing an operation according to the second plan. According to an embodiment, the third electronic device  1603  may terminate the speech input reception based on the third response data  1616 . 
       FIG. 17  is a diagram illustrating examples of a user&#39;s audible distance, a first utterance detection distance of a first electronic device and a second utterance detection distance of a second electronic device according to various embodiments. 
     Referring to  FIG. 17 , according to an embodiment, a first utterance detectable distance of a first electronic device  1701  (e.g., the first electronic device  101  of  FIG. 4 ) and a second utterance detectable distance of a second electronic device  1702  (e.g., the second electronic device  102  of  FIG. 4 ) may be shorter than the user&#39;s audible distance. In the case where utterance detection is performed only with the first electronic device  1701 , if the user makes a first utterance through the first electronic device  1701  (or receives a first response to a first speech input of the first utterance) and then moves out of the first utterance detectable distance and makes a second utterance within the second utterance detectable distance, the speech recognition service for the second utterance may not be provided. According to an embodiment, when the user moves out of the first utterance detectable distance and makes the second utterance within the second utterance detectable distance after making the first utterance through the first electronic device  1701  (or after receiving the first response to the first speech input of the first utterance), the intelligent server  200  may activate the microphone of the second electronic device  1702  to detect the second utterance, thereby allowing the speech recognition service to be seamlessly provided. 
     It should be appreciated that various embodiments of the disclosure and the terms used therein are not intended to limit the technological features set forth herein to particular embodiments and include various changes, equivalents, or replacements for a corresponding embodiment. With regard to the description of the drawings, similar reference numerals may be used to refer to similar or related elements. It is to be understood that a singular form of a noun corresponding to an item may include one or more of the things, unless the relevant context clearly indicates otherwise. As used herein, each of such phrases as “A or B,” “at least one of A and B,” “at least one of A or B,” “A, B, or C,” “at least one of A, B, and C,” and “at least one of A, B, or C,” may include all possible combinations of the items enumerated together in a corresponding one of the phrases. As used herein, such terms as “1st” and “2nd,” or “first” and “second” may be used to simply distinguish a corresponding component from another, and does not limit the components in other aspect (e.g., importance or order). It is to be understood that if an element (e.g., a first element) is referred to, with or without the term “operatively” or “communicatively”, as “coupled with,” “coupled to,” “connected with,” or “connected to” another element (e.g., a second element), the element may be coupled with the other element directly (e.g., wiredly), wirelessly, or via a third element. 
     As used herein, the term “module” may include a unit implemented in hardware, software, or firmware, or any combination thereof, and may interchangeably be used with other terms, for example, “logic,” “logic block,” “part,” or “circuitry”. A module may be a single integral component, or a minimum unit or part thereof, adapted to perform one or more functions. For example, according to an embodiment, a module may be implemented in the form of an application-specific integrated circuit (ASIC). 
     Various embodiments as set forth herein may be implemented as software (e.g., the program  140 ) including one or more instructions that are stored in a storage medium (e.g., internal memory  136  or external memory  138 ) that is readable by a machine (e.g., the electronic device  101 ). For example, a processor (e.g., the processor  120 ) of the machine (e.g., the electronic device  101 ) may invoke at least one of the one or more instructions stored in the storage medium, and execute it, with or without using one or more other components under the control of the processor. This allows the machine to be operated to perform at least one function according to the at least one instruction invoked. The one or more instructions may include a code generated by a complier or a code executable by an interpreter. The machine-readable storage medium may be provided in the form of a non-transitory storage medium. Wherein, the “non-transitory” storage medium is a tangible device, and may not include a signal (e.g., an electromagnetic wave), but this term does not differentiate between where data is semi-permanently stored in the storage medium and where the data is temporarily stored in the storage medium. 
     According to an embodiment, a method according to various embodiments of the disclosure may be included and provided in a computer program product. The computer program products may be traded as commodities between sellers and buyers. The computer program product may be distributed in the form of a machine-readable storage medium (e.g., compact disc read only memory (CD-ROM)), or be distributed (e.g., downloaded or uploaded) online via an application store (e.g., Play Store™), or between two user devices (e.g., smart phones) directly. If distributed online, at least part of the computer program product may be temporarily generated or at least temporarily stored in the machine-readable storage medium, such as memory of the manufacturer&#39;s server, a server of the application store, or a relay server. 
     According to various embodiments, each component (e.g., a module or a program) of the above-described components may include a single entity or multiple entities. According to various embodiments, one or more of the above-described components may be omitted, or one or more other components may be added. Alternatively or additionally, a plurality of components (e.g., modules or programs) may be integrated into a single component. In such a case, according to various embodiments, the integrated component may still perform one or more functions of each of the plurality of components in the same or similar manner as they are performed by a corresponding one of the plurality of components before the integration. According to various embodiments, operations performed by the module, the program, or another component may be carried out sequentially, in parallel, repeatedly, or heuristically, or one or more of the operations may be executed in a different order or omitted, or one or more other operations may be added. 
     According to an example embodiment, there may be provided a non-transitory computer readable storage medium storing instructions, the instructions configured to be executed by at least one processor, and when executed cause an electronic device to perform at least one operation, the at least one operation comprising: transmitting first response data obtained by processing a first speech input corresponding to a first utterance received from a first electronic device to the first electronic device through a communication module, identifying a second electronic device configured to detect a second utterance associated with the first response data within a designated time after the first utterance, transmitting a wake-up signal to the second electronic device and receiving, from the second electronic device, a speech input corresponding to an utterance obtained by a turn-on of a microphone based on the wake-up signal, identifying whether the received speech input corresponding to the utterance is a second speech input corresponding to the second utterance, obtaining second response data obtained by processing the second speech input based on the first speech input and the first response data based on the second speech input corresponding to the second utterance being identified, and transmitting the second response data to the first electronic device or the second electronic device through the communication module. 
     While the disclosure has been illustrated and described with reference to various example embodiments, it will be understood that the various example embodiments are intended to be illustrative, not limiting. It will be further understood by those skilled in the art that various changes in form and detail may be made without departing from the true spirit and full scope of the disclosure, including the appended claims and their equivalents.