Patent Publication Number: US-11664027-B2

Title: Method of providing voice command and electronic device supporting the same

Description:
PRIORITY 
     This application is a Continuation of, and claims priority under 35 U.S.C. § 120 to, U.S. patent application Ser. No. 16/895,499, which was filed in the USPTO on Jun. 8, 2020, which is a Continuation of, and claims priority under 35 U.S.C. § 120 to, U.S. patent application Ser. No. 15/906,594, which was filed in the USPTO on Feb. 27, 2018, issued as U.S. Pat. No. 10,679,619 on Jun. 9, 2020, which is a Continuation of, and claims priority under 35 U.S.C. § 120 to, U.S. patent application Ser. No. 14/755,441, which was filed in the USPTO on Jun. 30, 2015, issued as U.S. Pat. No. 9,934,781 on Apr. 3, 2018, and claims priority under 35 U.S.C. § 119(a) to a Korean Patent Application Serial No. 10-2014-0080541, which was filed in the Korean Intellectual Property Office on Jun. 30, 2014, the entire content of each of which is incorporated herein by reference. 
    
    
     BACKGROUND 
     1. Field of the Disclosure 
     The present disclosure relates to a method and electronic device for providing a voice command, and more particularly to a method and electronic device for converting audio data into a voice command to instantly process a function without a delay due to server management when the audio data satisfies a specific condition. 
     2. Description of the Related Art 
     With the recent development of digital technology, various mobile electronic devices (for example, mobile communication devices, Personal Digital Assistants (PDAs), smartphones, tablet Personal Computers (PCs), and so on) capable of processing communication and personal information are available. Such electronic devices are equipped with a speech recognition function. Accordingly, when a user inputs voice, the related art electronic device may recognize the voice and output a recognition result. 
     Moreover, an electronic device performs server device management in order to improve the reliability of a speech recognition result. Accordingly, in relation to using a speech recognition function, an electronic device performs an operation for transmitting voice data to a server device and receiving information corresponding thereto. During this operation, the electronic device may experience significant delay. The delay may cause inconvenience during repeated operation of a speech recognition function. 
     SUMMARY 
     The present disclosure has been made to address the above-mentioned problems and disadvantages, and to provide at least the advantages described below. 
     Accordingly, an aspect of the present disclosure provides a voice command providing method for converting audio data into a voice command to instantly process a function without a delay due to server management when the audio data satisfies a condition and an electronic device supporting the same. 
     In accordance with an aspect of the present disclosure, a portable communication device includes a display, at least one microphone, a memory, and a processor operably connected to the display, the at least one microphone and the memory, wherein the processor is configured to display guide information, via the display, in response to a user input, the guide information including a first display object related to guide a user voice input for generation of a new voice command and a second display object related to at least one application executed by the new voice command via the portable communication device, receive audio data corresponding to the first display object from a user through the at least one microphone, generate the new voice command corresponding to the audio data, and store, in the memory, the new voice command corresponding to the received audio data and mapping information indicating that the new voice command and the at least one application are mapped. 
     In accordance with another aspect of the present disclosure, a method for operating a new voice command by a portable communication device includes displaying guide information, via a display, in response to a user input, the guide information including a first display object related to generation of a new voice command and a second display object related to at least one application executed by the new voice command via the portable communication device, receiving audio data corresponding to the first display object from a user through at least one microphone, generating the new voice command corresponding to the audio data; and storing, in a memory, the new voice command corresponding to the received audio data and mapping information indicating that the new voice command and the at least one application are mapped. 
    
    
     
       BRIEF DESCRIPTION OF THE DRAWINGS 
       The above and other aspects, features, and advantages of the present disclosure will be more apparent from the following description, taken in conjunction with the accompanying drawings, in which: 
         FIG.  1    is a block diagram of a voice command providing system according to an embodiment of the present disclosure; 
         FIG.  2    is a block diagram of a control module and a storage module according to an embodiment of the present disclosure; 
         FIG.  3    is a block diagram of a server device according to an embodiment of the present disclosure; 
         FIG.  4    is a block diagram relating to voice command processing according to an embodiment of the present disclosure; 
         FIG.  5    is a flowchart of a voice command providing method according to an embodiment of the present disclosure; 
         FIG.  6    is a flowchart of a voice command providing method according to an embodiment of the present disclosure; 
         FIG.  7    is a flowchart of a voice command provision related candidate recognition model processing method according to an embodiment of the present disclosure; 
         FIG.  8    is an illustration of a user interface relating to a voice command provision according to an embodiment of the present disclosure; and 
         FIG.  9    is a block diagram of an electronic device according to an embodiment of the present disclosure. 
     
    
    
     DETAILED DESCRIPTION 
     Hereinafter, an electronic device according to various embodiments of the present disclosure is described in more detail with reference to the accompanying drawings. Various modifications are possible in various embodiments of the present disclosure and specific embodiments are illustrated in the accompanying drawings and related detailed descriptions are provided. However, this does not limit the various embodiments of the present disclosure to a specific embodiment and it should be understood that the present disclosure covers all modifications, equivalents, and/or replacements of this disclosure provided they are within the scope of the appended claims and their equivalents. With respect to the descriptions of the accompanying drawings, like reference numerals refer to like elements. 
       FIG.  1    is a block diagram of a voice command providing system according to an embodiment of the present disclosure. 
     Referring to  FIG.  1   , a voice command providing system  10  includes an electronic device  100 , a network  300 , and a server device  200 . 
     The voice command providing system  10  of such a configuration transmits audio data, collected by the electronic device  100 , to the server device  200  through the network  300 . The server device  200  transmits analysis data of audio data to the electronic device  100 . The electronic device  100  registers specific audio data as a voice command on the basis of the received audio analysis data (for example, audio feature data, speech recognition data, function execution data (or function performance data), and so on). If audio data relating to a voice command is collected, the electronic device  100  performs a function (e.g. voice short-cut) for the voice command separately from the server device  200 . The above-mentioned voice command providing system  10  supports a prompt function call (for example, search, execution, activation, or deactivation) by registering specific audio data as an instruction in relation to a specific function execution of the electronic device  100 . Additionally, the voice command providing system  10  may establish a voice command architecture (or system) substantially by converting a recent frequently used function as a voice command according to a history of audio data that a user of the electronic device  100  inputs and managing the voice command. Additionally, the voice command providing system  10  may efficiently manage the voice command architecture (or system) by removing an unused voice command. 
     The network  300  supports a communication channel establishment between the electronic device  100  and the server device  200 . The network  300  may be prepared with a network device element capable of supporting a communication method of at least one communication module prepared in the electronic device  100 . For example, the network  300  may include a cellular communication related network device element (for example, a mobile base station, a mobile switching center, etc.), a Wireless Fidelity (WiFi) communication related network device element (for example, an Access Point (AP), a core network, etc.), and the like. The network  300  is not limited to a specific device element. The network  300  may be prepared with at least one device element that establishes at least one communication channel available for transmission of audio data and transmission of audio analysis data between the electronic device  100  and the server device  200 . According to an embodiment of the present disclosure, if a communication channel is established through a short-range wireless communication method or a direct communication method (e.g. a method of directly establishing a communication channel without passing through a base station), the network  300  may be omitted. An example of transmitting/receiving data on the basis of a form of including the network  300  is described below. 
     The server device  200  establishes a communication channel with the electronic device  100  through the network  300 . According to an embodiment of the present disclosure, the server device  200  establishes a data communication channel with the electronic device  100  in relation to the reception of audio data and the transmission of audio analysis data. According to an embodiment of the present disclosure, the server device  200  establishes a voice communication channel for receiving audio data from the electronic device  100  and a data communication channel for transmitting audio analysis data to the electronic device  100 . According to an embodiment of the present disclosure, the server device  200  manages and provides a voice command of the electronic device  100 . For example, the server device  200  may store information on voice commands for each of at least one electronic device  100  or each of at least one user. The server device  200  analyzes audio data that the electronic device  100  provides. The server device  200  may perform the deletion of voice commands performed on the electronic device  100  or the addition of a new voice command on the basis of audio analysis data. When a voice command update occurs, the server device  200  provides voice command update information to the electronic device  100 . 
     The electronic device  100  establishes a connection with the server device  100  through the network  300  and transmits audio data to the server device  200 . The electronic device  100  receives audio analysis data from the server device  200 . The electronic device  100  may generate new voice commands or remove a pre-generated voice command on the basis of the received audio analysis data. According to an embodiment of the present disclosure, the electronic device  100  may update a pre-generated voice command on the basis of the collected audio data. According to an embodiment of the present disclosure, the electronic device  100  may generate a specific voice command by an input event. According to an embodiment of the present disclosure, the electronic device  100  may receive a specific voice command from another electronic device or the server device  200  and store the received specific voice command. The electronic device  100  may update a stored voice command by using the collected audio data or the audio analysis data that the server device  200  provides. According to an embodiment of the present disclosure, the electronic device  100  may not update by at least one of the collected audio data and the audio analysis data in relation to a specific voice command. According to an embodiment of the present disclosure, the electronic device  100  manages a candidate recognition model relating to voice command generation in a voice command update operation. The voice command may be included in a recognition model (for example, a model including at least one of audio feature data and speech recognition data) and managed. 
     The above-mentioned electronic device  100  may include a communication interface  110 , an antenna  112 , an input module  120 , an audio module  130 , a display module  140 , a storage module  150 , a control module  160 , and a bus  170 . 
     The communication interface  110  establishes a communication channel with the network  300 . According to an embodiment of the present disclosure, the communication interface  110  establishes a communication channel with the network  300  according to a communication method such as 3G/4G, and so on. According to an embodiment of the present disclosure, the communication interface  110  establishes a communication channel according to a WiFi communication method via the antenna  112 . The communication interface  110  may establish a communication channel with the server device  200  through the network  300 . In relation to this, the electronic device  100  may perform the connection of the server device  200  by using pre-stored or inputted address information. Herein, the address information, as information such as an Internet Protocol (IP) address and so on, may include identification information of the server device  200  registered in the network  300 . 
     According to an embodiment of the present disclosure, when performing a specific function (for example, a voice search function such as S-Voice of the Samsung Galaxy, a voice search function such as Siri of the Apple iPhone, etc.) of the electronic device  100 , the communication interface  110  may be activated automatically. Alternatively, when audio data is collected according to a specific function execution, the communication interface  110  may be activated. The communication interface  110  may transmit the collected audio data to the server device  200 . During this operation, the communication interface  110  may transmit identification information (for example, address information of the electronic device  100 , phone number information of the electronic device, hardware related information of the electronic device  100  such as Media Access Control (MAC) address, etc.) of the electronic device  100 . 
     According to an embodiment of the present disclosure, the communication interface  110  receives audio analysis data (for example, at least one of audio feature data, speech recognition data, and function execution data relating to transmitted audio data) from the server device  200 . The communication interface  110  delivers the received audio analysis data to at least one of the storage module  150  and the control module  160 . According to an embodiment of the present disclosure, the communication interface  110  receives at least one of a voice command and voice command update information from the server device  200 . The voice command and voice command update information that the communication interface  110  receives may be stored in the storage module  150  and the control module  160  or updated. 
     The input module  120  generates an input signal relating to the management of the electronic device  100 . For example, the input module  120  may include a physical key button (for example, a home key, a side key, a power key, etc.), a jog key, a keypad, and the like. The input module  120  may include a virtual keypad outputted to the display module  140  as an input device. The input module  120  may generate an input signal relating to the execution of a specific application (app) (for example, a voice search function, a voice command management function, etc.). According to an embodiment of the present disclosure, the input module  120  generates an input signal relating to a character input corresponding to a specific voice command. The input module  120  may generate an input signal for requesting the connection from the server device  200 , an input signal relating to a specific voice command reception from the server device  200 , and so on. The voice command may correspond to a recognition model (for example, a model including at least one of audio data, audio feature data, and speech recognition data). 
     The audio module  130  supports a function relating to the audio data output and audio data collection of the electronic device  100 . In relation to this, the audio module  130  includes a speaker for performing an audio data output and at least one microphone for supporting audio data collection. If a specific app (for example, a voice search function) of the electronic device  100  is executed, the audio module  130  may be activated automatically. According to an embodiment of the present disclosure, if power is supplied to the electronic device  100 , the audio module  130  is activated to perform audio data collection in real time or at predetermined periods (for example, an “always on” mode, which is a mode or function in which a voice search or collection function is performed as background processing). The audio data that the audio module  130  collects may be stored in the storage module  150  or may be transmitted to the server device  200  through the communication interface  110  according to a control of the control module  160 . 
     According to an embodiment of the present disclosure, when collecting specific audio data, the audio module  130  outputs response information on the collected audio data. For example, as a speech recognition result for the collected audio data, the audio module  130  outputs information that describes the type of a function performed based on the speech recognized result and information relating to the generation of a voice command corresponding to the collected audio data or the removal of a specific voice command. The audio data that the audio module  130  collects, as mentioned above, is transmitted to the server device  200  and is speech-recognized by the electronic device  100 . For example, when the electronic device  100  is unable to connect to the server device  200 , it performs speech recognition on the collected audio data. 
     According to an embodiment of the present disclosure, the audio module  130  outputs information relating to voice command processing, information relating to a function execution according to voice command processing, and information relating to voice command update (for example, a generation of a new voice command or a change or deletion of an existing voice command). The above-mentioned information output of the audio module  130  may be omitted according to a user setting. 
     The display module  140  provides at least one screen interface (or a user interface) relating to the management of the electronic device  100 . For example, the display module  140  may output a lock screen, a turn-off screen in a sleep mode state, a standby screen, a menu screen, etc. According to an embodiment of the present disclosure, the display module  140  outputs a screen according to a specific function execution (for example, a voice search function). The display module  140  outputs a screen relating to a voice search function when the voice search function is executed. When a microphone collects specific audio data, the display module  140  may output a screen relating to the transmission to the server device  200  of the collected audio data, a screen relating to audio analysis data reception from the server device  200 , and a screen relating to the update of a voice command by the received audio analysis data. When audio data corresponding to a specific voice command is collected, the display module  140  outputs a function execution screen corresponding to a corresponding voice command. 
     According to an embodiment of the present disclosure, the display module  140  outputs a virtual keypad screen relating to a character input corresponding to a voice command. The display module  140  may output a list screen relating to stored voice commands and a screen relating to voice command editing. The list screen relating to voice commands may include at least one voice command and information on function items to be performed when each voice command is inputted. The display module  140  may output an information screen for candidate recognition models relating to voice commands. Information on candidate recognition models may include audio feature data (for example, data such as audio frequency characteristics or time domain characteristics), speech recognition data (for example, data such as characters obtained through speech recognition), function execution data (for example, a specific function item executed according to audio data), and information on a weight (for example, the number of times that the same audio data is collected). 
     The storage module  150  stores information relating to the management of the electronic device  100 , for example, an operating system, app data according to a specific function execution, and the like. The storage module  150  may store data relating to a voice command providing function. For example, the storage module  150  may store audio data that the microphone of the audio module  130  collects. The storage module  150  may store audio analysis data that the server device  200  provides in correspondence to the transmitted audio data. In relation to this, the storage module  150  may store a voice command generation table. The storage module  150  may store an app relating to a voice search function. The storage module  150  may store various apps to be executed by a voice command. The voice command generation table stored in the storage module  150  may be updated by collected audio data, received audio analysis data, and update information that the server device  200  provides. 
     The bus  170  may support a signal flow between each of components of the electronic device  100 . For example, the bus  170  may deliver audio data that the audio module  130  collects to the control module  160  or may deliver the audio data to the communication interface  110  according to a control of the control module  160 . Additionally, the bus  170  may deliver audio analysis data, received through the communication interface  110 , to at least one of the storage module  150  and the control module  160 . 
     The control module  160  may perform the transmission and processing of data relating to the management of the electronic device  100 . The control module  160  may perform the transmission and processing of a control signal relating to the management control of the electronic device  100 . In relation to a voice command providing function support, the control module  160  may be implemented as shown in  FIG.  2   . 
       FIG.  2    is a block diagram of the control module  160  and the storage module  150  according to an embodiment of the present disclosure. 
     Referring to  FIG.  2   , the storage module  150  of the electronic device  100  according to an embodiment of the present disclosure includes a voice command generation table  50 , a candidate recognition model  60 , a recognition model  70 , and a voice command  80 . 
     The voice command generation table  50  includes audio feature data  51 , speech recognition data  53 , function execution data  55 , and a weight  57 . The audio feature data  51 , the speech recognition data  53 , and the function execution data  55  included in the voice command generation table  50  may be collected based on audio analysis data that the server device  200  provides. According to an embodiment of the present disclosure, the audio feature data  51  and the speech recognition data  53  may be provided by an analysis of the electronic device  100 . In relation to this, the electronic device  100  may further include a speech recognition algorithm (for example, an algorithm for performing speech recognition on audio data to output the audio data as text) and an audio feature analysis module (for example, a module for extracting the acoustic feature of audio data, for example, spectrum information of audio data). Additionally, the control module  160  of the electronic device  100  may perform a control to generate and store function execution data  55  by mapping a speech recognition result into a function executed on the electronic device  100 . 
     The audio feature data  51  may be data on an audio feature (including a frequency or time axis area feature value such as Mel Frequency Cepstral Coefficients (MFCC), Linear Prediction Coefficients (LPC), Line Spectral Pairs (LSP), autocorrelation, power spectrum, pitch, etc.) for specific audio data (for example, audio data that a user speaks). The audio feature data  51  may include at least one audio feature (or a sound wave frequency feature) included in each of at least one word, word-phrase, clause, phrase, sentence, paragraph, and page. The audio feature data  51  may be data into which an audio feature is mapped for each audio data. The audio feature data  51  on each audio feature may be received from the server device  200  and stored. Alternatively, the audio feature data  51  may be detected by the electronic device  100  and stored. 
     The speech recognition data  53  may be speech recognized text information. The control module  160  of the electronic device  100  transmits specific audio data, collected when a user speaks, to the server device  200  through the communication interface  110 . The control module  160  receives a speech recognition result (for example, text) corresponding to specific audio data and stores it in the storage module  150 . The speech recognition data  53  may include a text mapped into specific audio data. 
     The function execution data  55  includes function execution information of the electronic device  100  mapped into specific audio data. According to an embodiment of the present disclosure, the function execution data  55  includes specific function execution information of the electronic device  100 , which is obtained by analyzing audio data that the server device  200  receives from the electronic device  100 . According to an embodiment of the present disclosure, the function execution data  55  is data that the electronic device  100  maps concerning specific function execution information executed by the collected audio data. 
     The weight  57  is defined based on information on the number of times that audio data relating to each of the audio feature data  51 , the speech recognition data  53 , and the function execution data  55  are collected and a collection time, the frequency of use of a specific app executed by audio data, and a usage time of a specific app. According to an embodiment of the present disclosure, the weight  57  may have a relatively large value corresponding to the number of times that each audio data is collected. According to an embodiment of the present disclosure, the weight  57  may have a relatively larger value for a recent time at which audio data is collected. According to an embodiment of the present disclosure, the weight  57  may have a relatively large value corresponding to the number of times that audio data is collected within a set predetermined period. The weight  57  may be used for generating the candidate recognition module  60  or the recognition model  70  and generating the voice command  80  according thereto. 
     For example, the collected audio data may be the following information spoken in English: “Hello, how are you doing?” (first collected audio data  1 ), “Show me the nearest restaurants.” (second collected audio data  2 ), “Is it going to rain tomorrow?” (third collected audio data  3 ), “How do I get to the nearest subway station?” (fourth collected audio data  4 ), “Show me the nearest restaurants.” (fifth collected audio data  5 ), “What is the stock price of Samsung Electronics?” (sixth collected audio data  6 ), “Is it going to rain tomorrow?” (seventh collected audio data  7 ), “Set an alarm for 6 am on Monday.” (eighth collected audio data  8 ), “I feel like having an ice-cream.” (ninth collected audio data  9 ), and “Show me the nearest restaurants.” (tenth collected audio data  10 ). The control module  160  may configure a voice command table as shown in Table 1 below with respect to the audio data. Table 1 illustrates a table of the audio feature data  51 , the speech recognition data  53 , the function execution data  55 , and the weight  57  for collected audio data. 
     
       
         
           
               
               
               
               
             
               
                 TABLE 1 
               
               
                   
               
               
                   
                 Audio  
                 Speech 
                 Function  
               
               
                 Weight 
                 feature data 
                 recognition data 
                 execution data 
               
               
                   
               
             
            
               
                 3 
                 2, 5, 10 
                 Show me the  
                 Open Map  
               
               
                   
                   
                 nearest restaurants. 
                 (Local search) 
               
               
                 2 
                 3, 7 
                 Is it going to rain 
                 Weather for  
               
               
                   
                   
                 tomorrow? 
                 current location 
               
               
                 1 
                 1 
                 Hello, how are you doing? 
                 Chatbot response 
               
               
                 1 
                 4 
                 How do I get to the  
                 Open Map  
               
               
                   
                   
                 nearest subway station? 
                 (Navigation) 
               
               
                 1 
                 6 
                 What is the stock price  
                 QnA 
               
               
                   
                   
                 of Samsung Electronics? 
                   
               
               
                 1 
                 8 
                 Set an alarm for  
                 Alarm 
               
               
                   
                   
                 6 am on Monday. 
                   
               
               
                 1 
                 9 
                 I feel like having  
                 Open Map  
               
               
                   
                   
                 an ice-cream. 
                 (Local search) 
               
               
                   
               
            
           
         
       
     
     The candidate recognition model  60  may be candidate models prepared before the generation of the recognition model  70 . When specific audio data satisfies a specific predetermined specific condition (for example, at least one of the predetermined number of collections, collection within a specific predetermined specific time, the frequency of use of a specific app executed by audio data, and a usage time of a specific app), the candidate recognition model  60 , for example, may be generated based on the audio feature data  51 , the speech recognition data  53 , and the function execution data  55  corresponding to corresponding audio data. When the specific audio data does not satisfy a specific predetermined specific condition (for example, at least one of when there is no audio data collection during a specific predetermined specific period and when the frequency of use of a specific app executed by audio data or a usage time is less than a predetermined value), the candidate recognition model  60  relating to the specific audio data may be removed. According to an embodiment of the present disclosure, the processing operation for the candidate module  60  in a voice command providing function of the electronic device  100  may be omitted. In this case, the candidate recognition module  60  may not be stored in the storage module  150 . 
     The recognition module  70  is comparison information corresponding to the voice command  80 . The recognition module  70  may include information mapped into each voice command  80 . According to an embodiment of the present disclosure, the recognition model  70  may include at least one of the audio feature data  51  and the speech recognition data  53  corresponding to the specific voice command  80 . According to an embodiment of the present disclosure, when audio data satisfying a predetermined specific condition is collected, the recognition model  70  is generated based on the voice command generation table  50  corresponding to the corresponding audio data. According to an embodiment of the present disclosure, if the recognition model  70  does not satisfy a specific predetermined specific condition, it is removed. During the management of the candidate recognition model  60 , some of the candidate recognition models  60  that satisfy a specific predetermined specific condition among the candidate recognition models  60  may be converted into the recognition model  70 . 
     The voice command  80  may be mapped into each recognition model  70  and stored. The voice command  80  may be mapped into the function execution data  55 . When a new recognition model  70  is generated, the new voice command  80  may be added. When the recognition model  70  is removed, the voice command  80  may be removed. At least one voice command  80  among the voice commands  80  may not be removed and may be maintained according to a setting regardless of an additional defined condition. The voice command  80  may be a command used for a voice shortcut function. For example, if audio data corresponding to the voice command  80  is collected, the control module  160  may perform a control to execute a function mapped into the voice command  80 . 
     The control module  160  includes an audio data processing module  161 , a recognition model processing module  163 , and a voice command processing module  165 . 
     The audio data processing module  161  controls the collection and processing of audio data. For example, the audio data processing module  161  may perform a control to activate a microphone when a voice search function is activated. The audio data processing module  161  may perform a control to transmit audio data that a microphone collects to the server device  200 . The audio data processing module  161  may control an audio analysis data reception corresponding to audio data that the server device  200  provides. The audio data processing module  161  may extract the audio feature data  51 , the speech recognition data  53 , and the function execution data  55  from the received audio analysis data. The audio data processing module  161  may update each data stored in the storage module  150  on the basis of the extracted data. 
     According to an embodiment of the present disclosure, the audio data processing module  161  maps the audio feature data  51  in relation to the collected audio data. For example, when receiving the audio feature data  51  for audio data such as “camera,” “weather,” “news,” “stock information,” “please call mom,” and so on from the server device  200 , the audio data processing module  161  maps the received audio feature data  51  into each audio data and stores them. 
     According to an embodiment of the present disclosure, the audio data processing module  161  maps the audio feature data  51  for one word of audio data such as “camera” and stores it. According to an embodiment of the present disclosure, the audio data processing module  161  maps audio feature data for each word of a three-word phrase such as “please call mother” into a corresponding character and stores them as one audio feature data  51 . The audio feature data  51  may have a predetermined error range by a situation or environment in which a user speaks or a user&#39;s physical change. For example, an audio feature for “please call mother” may have a predetermined difference value according to a speaking place (for example, an open area, a confined place, a place having noise of more than a predetermined value, a place with a different barometric pressure, and the like). The audio data processing module  161  may map audio features within a predetermined error range into audio features for one audio data and may store a mapping result as the audio feature data  51 . According to an embodiment of the present disclosure, even if audio data is configured with a similar sentence, the server device  200  or the electronic device  100  may classify a sentence including another word as different audio features. For example, the audio data processing module  161  may classify audio data corresponding to “please call mother” and audio data corresponding to “please call sister” as different audio feature data and store them. 
     According to an embodiment of the present disclosure, the audio data processing module  161  extracts speech recognition data and audio feature data for the received audio data by using a pre-stored speech recognition algorithm and an audio feature extraction module according to a specific situation (for example, a voice search function is performed in a situation where the electronic device  100  is unable to establish a communication channel with the server device  200 ) or predetermined schedule information. In relation to this, the audio data processing module  161  may include a speech recognizer or speech recognition processor relating to audio data speech recognition. For example, the audio data processing module  161  may include a speech recognizer (for example, a voice command extractor) for determining whether audio data relates to a voice shortcut function (for example, S-Voice, Siri, etc.) or what function is to be executed in a voice shortcut function execution state. The audio data processing module  161  may update the speech recognition data  53  and the audio feature data  51  stored in the storage module  150  by using the extracted data. The audio data processing module  161  may check a function execution state after speech recognition and may update the function execution data  55  on the basis of the checked function execution information. 
     The recognition model processing module  163  manages at least one of the candidate recognition model  60  and the recognition model  70 . According to an embodiment of the present disclosure, the recognition model processing module  163  performs a control to generate a new candidate recognition model  60  on the basis of the weight  57  of analysis data of audio data that the electronic device  100  collects. The recognition model processing module  163  may change the candidate recognition model  60  into the recognition model  70  according to a specific condition after changing a score of the candidate recognition model  60  in relation to the collected audio data. The recognition model processing module  163  may generate a new recognition model  70  by changing the candidate recognition model  60  into the recognition model  70  in correspondence to a specific condition. When a new recognition model  70  is generated, the recognition model processing module  163  may generate a voice command  80  corresponding to the recognition model  70 . Alternatively, a voice command  80  may be generated automatically based on analysis data of audio data contributed to the generation of the recognition model  70 . According to an embodiment of the present disclosure, the recognition model processing module  163  may remove the candidate recognition model  60  according to a specific condition. Additionally, when removing the specific recognition model  70 , the recognition model processing module  163  may remove a voice command  80  corresponding thereto. 
     According to an embodiment of the present disclosure, when the electronic device  100  manages a large vocabulary recognition processor (or device), speech recognition performance is possible based on a voice command list. Correspondingly, the recognition model processing module  163  may be integrated into the voice command processing module  165  so that they may be configured as one module. Similarly, the electronic device  100  may support voice command processing on the basis of at least one of a voice command  80  and a recognition model  70 . For example, the electronic device  100  may map audio data and a voice command  80  without recognition model management and may support voice command processing on the basis of the mapping result. Alternatively, the electronic device  100  may support recognition model based function processing by mapping audio data into a recognition model  70  and mapping the mapped recognition model  70  into a specific function. 
     The voice command processing module  165  determines whether audio data that the electronic device  100  collects corresponds to a voice command  80 . If the collected audio data corresponds to a voice command  80 , the voice command processing module  165  performs a control to execute a specific function mapped into the voice command  80 . During this operation, the voice command processing module  165  may determine a similarity by mutually comparing the recognition model  70  and the collected audio data. The voice command processing module  165  may detect the recognition model  70  of which similarity to the collected audio data is more than a predetermined value and may check a function item of the voice command  80  mapped into the recognition model  70 . 
     As mentioned above, the electronic device  100  according to an embodiment of the present disclosure may collect audio analysis data of audio data obtained in real time, at a predetermined period, or during specific app execution. The electronic device  100  may generate a new voice command  80  or update a voice command  80  on the basis of the audio analysis data. The electronic device  100  may support the generation and management of a voice command  80  corresponding to an app that a user uses frequently or heavily or a heavily used function. 
       FIG.  3    is a block diagram of a server device  200  according to an embodiment of the present disclosure. 
     Referring to  FIG.  3   , a server device  200  according to an embodiment of the present disclosure includes a server communication module  210 , an antenna  212 , a server storage module  250 , and a server control module  260 . 
     The server communication module  210  may establish a communication channel with the network  300  and may establish a communication channel in correspondence to the connection of the electronic device  100 . The server communication module  210  may receive, from the electronic device  100 , audio data corresponding to audio data that a user speaks. The collected audio data may be delivered to at least one of the server storage module  250  and the server control module  260 . The server communication module  210  may transmit audio analysis data to the electronic device  100  according to a control of the server control module  260 . According to an embodiment of the present disclosure, the server communication module  210  may transmit, to the electronic device  100 , a voice command  80  and voice command update information relating to the specific electronic device  100 . 
     The server storage module  250  stores a program and data relating to a voice command providing function. For example, the server storage module  250  may store an Automatic Speech Recognition (ASR) algorithm  251  and a voice command database  253 . The ASR  251  may include an algorithm supporting speech recognition for audio data that the electronic device  100  transmits. The voice command database  253  may include information on voice commands  80  for each electronic device. According to an embodiment of the present disclosure, the server storage module  250  may store an audio data analysis program. The audio data analysis program may include, for example, an audio data collection routine (for example, programmable information designed to execute a specific function, as including an instruction or an instruction set, a function, syntax, a template, class, etc.), a data processing routine, and a processing data transmission routine. 
     The server control module  260  controls the performance of at least one of the connection of the electronic device  100 , the analysis of audio data and analysis data provision, and voice command management. The server control module  260  may include a voice command related block  201  as shown in  FIG.  4   . According to various embodiments of the present disclosure, the voice command related block  201  may be established in the electronic device  100  and managed. 
       FIG.  4    is a block diagram relating to voice command processing according to an embodiment of the present disclosure. 
     Referring to  FIG.  4   , the voice command related block  201  includes a voice search manager  280  and a voice command manager  290 . At least one block in the voice command related block  201  may be included in a configuration of the server control module  260 . 
     The voice search manager  280  includes an audio data collection module  281 , a data processing module  283 , and a processing data transmission module  285 . 
     The audio data collection module  281  performs a control so that the server communication module  210  establishes a communication channel with the electronic device  100 . For example, when the server communication module  210  receives a connection request of the electronic device  100 , the audio data collection module  281  controls communication connection processing in correspondence thereto. The audio data collection module  281  collects audio data that the electronic device  100  provides in addition to the identification information of the electronic device  100 . The audio data collection module  281  delivers audio data to the data processing module  283 . 
     The data processing module  283  performs analysis on the audio data that the audio data collection module  281  delivers. The data processing module  283  extracts audio feature data, speech recognition data, and function execution data from the collected audio data. In relation to this, the data processing module  283  may include an analysis module for analyzing the frequency spectrum of audio data. The data processing module  283  may manage the ASR algorithm  251  stored in the storage module  150  in relation to the speech recognition data extraction. The data processing module  283  may collect text information on audio data through the management of the ASR  251 . 
     The data processing module  283  may manage a Natural Language Understanding (NLU) module in relation to function execution data extraction. The NLU module may extract natural languages from audio data and performance requested function execution information by combining the extracted natural languages. In relation to this, the data processing module  283  may check type information of a function installed on the electronic device  100  by comparing the identification information of the electronic device  100  and the type information of a pre-stored installation function for each electronic device. Alternatively, the server device  200  may request function type information from the electronic device  100  to provide it to the data processing module  283 . The data processing module  283  may extract function execution information on the basis of an analysis result of natural languages included in audio data and pre-stored device specific function type information (for example, a database where at least one natural language is mapped into each function is mapped). For example, the data processing module  283  may extract function execution information corresponding to the collected audio data by checking an intent for query and specific various conditions, which are identified through an analysis of natural languages. The extracted function execution information is provided to the processing data transmission module  285 . 
     The processing data transmission module  285  delivers audio feature data, speech recognition data, and function execution information that the data processing module  283  provides, to the electronic device  100  providing audio data. In relation to this, the processing data transmission module  285  may receive information on connection with the electronic device  100  from the audio data collection module  281 . According to an embodiment of the present disclosure, the processing data transmission module  285  delivers audio feature data, speech recognition data, and function execution information to the voice command manager  290 . 
     The voice command manager  290  includes a processing data collection module  291  and a voice command management module  293 . 
     The processing data collection module  291  receives audio feature data, speech recognition data, and function execution information that the voice search manager  280  provides. The processing data collection module  291  may store the received audio feature data, speech recognition data, and function execution information in the server storage module  250  of  FIG.  3    so that they may be identified by each electronic device  100  or each user. The processing data collection module  291  of  FIG.  4    may determine a weight for the collected audio feature data, speech recognition data, and function execution information. For example, the processing data collection module  291  may determine a weight (or score) for each data on the basis of information on the number of times that specific audio data is received and a time at which specific audio data is received. According to an embodiment of the present disclosure, if audio data is received relatively frequently within a predetermined period, the processing data collection module  291  may set a relatively high weight. Additionally, the processing data collection module  291  may increase (or decrease or maintain) a predetermined weight according to the number of receptions within a predetermined period. According to an embodiment of the present disclosure, the processing data collection module  291  may set a relatively high weight of audio data that is received relatively recently based on the current. Alternatively, the processing data collection module  291  may assign a predetermined weight (for example, the size of a minus weight is increased, which is interpreted to reduce the importance as a time interval increases). 
     If a set weight is greater than a specific condition, the processing data collection module  291  generates a voice command  80  of audio data corresponding to a corresponding weight. The processing data collection module  291  delivers the generated voice command  80  to the voice command management module  293 . According to an embodiment of the present disclosure, the processing data collection module  291  delivers weight change information to the voice command management module  293 . According to an embodiment of the present disclosure, the processing data collection module  291  may generate or update a voice command  80  according to the generation and management methods of the candidate recognition model  60  and the recognition model  70  described with the electronic device  100 . 
     The voice command management module  293  receives the generated voice command  80  from the processing data collection module  291 . The voice command management module  293  may receive information on weight change from the processing data collection module  291 . The voice command management module  293  manages the voice command database  253  on the basis of the received voice command  80  and weight change information. For example, the voice command management module  293  may add a newly generated voice command  80  to the voice command database  253  for each electronic device. Alternatively, if the weight of a voice command  80  relating to specific audio data is changed and becomes less than a specific condition, the voice command management module  293  may remove the voice command  80  from the voice command database  253 . When a new voice command  80  is generated in relation to the specific electronic device  100 , the voice command management module  293  may deliver the newly generated voice command information to the electronic device  100 . Additionally, when an existing voice command  80  is removed, the voice command management module  293  may deliver information on the removal situation as voice command update information to the electronic device  100 . 
     According to an embodiment of the present disclosure, functions of the processing data collection module  291  and the voice command management module  293  may be performed on the electronic device  100 , except for a speech recognition function. For example, if a set weight (or score) is greater than a specific condition, the electronic device  100  may generate a voice command  80  of audio data corresponding to a corresponding weight. The electronic device  100  may generate or update a voice command  80  according to the generation and management methods of the candidate recognition model  60  and the recognition model  70 . When receiving information on weight change, the electronic device  100  may manage the storage of a voice command  80  on the basis of the received voice command  80  and weight change information. For example, the electronic device  100  may add a newly generated voice command  80  to a database storing a voice command  80 . When a voice command  80  is removed from the database, the electronic device  100  may output an alarm for this through the audio module  130  or the display module  140 . 
     According to an embodiment of the present disclosure, the electronic device  100  may include an audio module for collecting audio data and a control module for updating a voice command  80  set to execute a specific function of the electronic device  100  through voice when specific audio data is collected, on the basis of at least one of audio feature data of the audio data, speech recognition data obtained by speech recognition of the audio data, and function execution data executed in relation to the audio data. 
     According to an embodiment of the present disclosure, the control module  160  may update the weight of at least one of pre-stored audio feature data, the speech recognition data, and the function execution data in correspondence to the audio data collection and may generate the voice command  80  if the weight satisfies a specific condition. 
     According to an embodiment of the present disclosure, if the weight satisfies the specific condition, the control module  160  may generate a candidate recognition model  60  and if the weight of the candidate recognition model  60  satisfies a specific condition in relation to the audio data, may change the candidate recognition model  60  into a recognition model  70  corresponding to the voice command  80 . 
     According to an embodiment of the present disclosure, the control module  160  may register a new voice command  80  corresponding to the recognition model  70  changed from the candidate recognition model  60 . 
     According to an embodiment of the present disclosure, the control module  160  may update the weight of at least one of a candidate recognition model  60  and recognition model  70  having no relation with the collected audio data and may remove at least one of a specific candidate recognition model  60  and a specific recognition model  70  in correspondence to the updated weight. 
     According to an embodiment of the present disclosure, the control module  160  may remove a registered voice command  80  in correspondence to the recognition model  70  removal. 
     According to an embodiment of the present disclosure, the control module  160  may control the display of at least one of the audio feature data  51 , the speech recognition data  53 , the function execution information  55 , and the voice command  80 . 
     According to an embodiment of the present disclosure, the control module  160  may control at least one of the weight update of the audio feature data  51  on the basis of the frequency of occurrence of the audio feature data, the weight update of the speech recognition data  53  on the basis of the frequency of occurrence of the speech recognition data, and the weight update of the function execution data  55  using at least one of whether to execute a specific function of the function execution data  55  and a specific function execution duration time of the function execution data  55 . 
     According to an embodiment of the present disclosure, the control module  160  may control a communication interface  110  for transmitting the audio data to a server device  200  and receiving, from the server device  200 , at last one of the audio feature data  51 , the speech recognition data  53 , and the function execution data  55 . 
     According to an embodiment of the present disclosure, the control module  160  may control a communication interface  110  for receiving, from the server device  200 , a voice command  80  generated based on at least one of the audio feature data  51 , the speech recognition data  53 , and the function execution data  55 . 
       FIG.  5    is a flowchart of a voice command providing method according to an embodiment of the present disclosure. 
     Referring to  FIG.  5   , a voice command providing method according to an embodiment of the present disclosure allows the control module  160  of the electronic device  100  to perform a management or standby function in operation  501 . For example, the control module  160  may output a standby screen, a lock screen, or a specific function execution screen according to a set schedule or an input control. 
     In operation  503 , the control module  160  checks whether there is an event occurrence relating to voice command support function activation. For example, the control module  160  may check whether there is a setting relating to a voice command support function. Alternatively, the control module  160  may check whether an input event relating to a voice command support function occurs. 
     If there is a voice command support function activation setting or a voice command support function activation event occurs in operation  503 , the control module  160  checks whether there is an event occurrence relating to voice search function activation in operation  505 . For example, the control module  160  may check the occurrence of an event for selecting a function icon relating to a voice search function and an event for requesting an app execution relating to a voice search function. 
     According to an embodiment of the present disclosure, when a voice search function is set to be provided by default, the control module  160  checks a corresponding setting. If there is no voice command support function activation setting or event occurrence in operation  503  or if there is no voice search function activation related setting or event occurrence in operation  505 , the control module  160  controls the function execution corresponding to the occurred event type in operation  507 . For example, the control module  160  may execute a specific app according to an event type or may maintain a previous state (for example, a sleep mode state, a lock screen state, a standby screen output state, etc.) of the electronic device  100 . 
     If there is a voice search function activation related setting or event in operation  505 , the control module  160  controls audio data collection and transmission in operation  509 . The control module  160  may activate a microphone of the audio module  130  and collect audio data. 
     According to an embodiment of the present disclosure, a voice search function may be performed separately from a voice shortcut function. For example, the control module  160  may drive a specific search recognizer (for example, a search processor) in relation to voice search function execution. The control module  160  may drive a specific function performer (for example, an S-Voice processor) in relation to a voice shortcut function. Alternatively, according to an embodiment of the present disclosure, the control module  160  of the electronic device  100  may simultaneously process a voice search function and a voice shortcut function through a function performer. If audio data is collected, the control module  160  may transmit corresponding audio data to the server device  200 . In relation to this, the control module  160  may establish a communication channel with the server device  200 . The server device  200  may generate audio analysis data for the received audio data and transmit it to the electronic device  100 . 
     In operation  511 , the control module  160  receives audio analysis data including at least one of speech recognition data  53 , audio feature data  51 , and function execution data  55 . In operation  513 , the control module  160  may perform voice command processing on the basis of the received audio analysis data. According to an embodiment of the present disclosure, the control module  160  may update the weights of the speech recognition data  53 , the audio feature data  51 , and the function execution data  55 , which are stored in the storage module  150 , on the basis of the received audio analysis data. When audio analysis data includes analysis data for a plurality of words or word-phrases during this operation, the control module  160  may update (for example, increase a weight count) the weight of at least one of the audio feature data  51  and the speech recognition data  53  including a plurality of words or word-phrases. Alternatively, the control module  160  may update the weight of at least one of the speech recognition data  53  and audio feature data  51  corresponding to at least part of a plurality of words. Alternatively, the control module  160  may update the weight of at least one of the speech recognition data  53  and audio feature data  51  corresponding to each of a plurality of words. 
     According to an embodiment of the present disclosure, in the case of the audio feature data  51 , the same information may have different values according to a collection environment of audio data. For example, first information (for example, audio data corresponding to “camera”) collected from a noisy place and the first information collected from a less noisy place may have audio feature data of different characteristics. The control module  160  may apply an error caused by a collection environment during the update operation of the audio feature data  51 . Alternatively, the control module  160  may store and manage audio data as the audio feature data  51  of a different characteristic. According to an embodiment of the present disclosure, during a speech recognition operation, the same value may be extracted based on a noise canceling operation and an estimation operation through a similarity comparison of a speech recognition database. The speech recognition data  53  may be collected as the same value with respect to the same audio data (for example, audio data corresponding to “camera”). 
     According to an embodiment of the present disclosure, the control module  160  may update the weight of the function execution data  55  stored in the storage module  150  on the basis of function execution data  55  included in the received audio analysis data. Alternatively, the control module  160  may update (for example, assign a high weight or increase a weight as an execution duration time increases) the weight of the function execution data  55  on the basis of the execution and execution duration time of an app or corresponding function executed by function execution data  55 . 
     If at least one of the audio feature data  51 , speech recognition data  53 , and function execution data  55  satisfies a specific condition (for example, a condition that it is greater than a predetermined weight set for generating a voice command  80 ), the control module  160  may generate and manage a voice command  80  for corresponding audio data. 
     According to an embodiment of the present disclosure, if the server device  200  is designed in a form of providing a voice command, the control module  160  may directly receive voice command update information from the server device  200 . In this case, the control module  160  may perform the update of the voice command  80  in the storage module  150  by using the voice command update information received from the server device  200 . 
     In operation  515 , the control module  160  checks whether there is a function termination related event occurrence. If the function termination related event occurs in operation  515 , the control module  160  may control at least one function termination of a voice search function and a voice command support function. If there is no function termination related event occurrence in operation  515 , the control module  160  returns to operation  505  and performs the subsequent operations again. The control module  160  may support the collection of audio data that a user uses frequently, and the command processing according thereto by managing a voice search function continuously (for example, an “always on” mode). 
       FIG.  6    is a flowchart of a voice command providing method according to an embodiment of the present disclosure. 
     Referring to  FIG.  6   , the voice command providing method performs the management or standby function of the control module  160  in operation  601 . For example, the control module  160  may perform a control to maintain the electronic device  100  in a sleep mode or output a standby screen. The control module  160  may provide a setting screen relating to voice search function activation or output a voice search function related function icon or menu to the display module  140 . Alternatively, the control module  160  may allocate a function button (for example, a home key) relating to voice search function execution. 
     In operation  603 , the control module  160  checks whether there is a voice search function activation related event occurrence or setting. If there is no voice search function activation related setting or event occurrence, the control module  160  proceeds to operation  605  and controls a function execution corresponding to an occurred event type. For example, the control module  160  may control the execution of a sound source playback function, a broadcast reception function, and so on according to the event type. Alternatively, if there is no event occurrence, the control module  160  may perform a control to maintain a function management state (for example, a sleep mode state, a specific function screen output state, and a state in which a specific function is performed in background) of operation  601 . 
     If an event relating to voice search function activation occurs in operation  603 , the control module  160  performs audio data collection and transmission in operation  607 . In operation  609 , the control module  160  receives speech recognition data, audio feature data, and function execution data from the server device  200 . 
     In operation  611 , the control module  160  checks whether there is a candidate recognition model  60  relating to the received data. If there is a candidate recognition model  60  in operation  611 , the control module  160  may perform candidate recognition model test and voice command processing in operation  613 . For example, the control module  160  may perform the weight update of the candidate recognition model  60 . Additionally, the control module  160  may perform new voice command generation according to the weight update of the candidate recognition model  60 . 
     If there is no candidate recognition model  60  in operation  611 , the control module  160  checks whether a candidate recognition modeling condition is satisfied in operation  615 . For example, the control module  160  may check whether at least one of the audio feature data  51 , speech recognition data  53 , and function execution data  55  updated by audio analysis data satisfies a specific condition or they all satisfy a specific condition. If the candidate recognition modeling condition is satisfied in operation  615 , the control module  160  performs candidate recognition model generation in operation  617 . If the candidate recognition modeling condition is not satisfied in operation  615 , the control module  160  skips operation  617 . 
     In operation  619 , the control module  160  checks whether there is an event occurrence relating to function termination. If the function termination related event occurs in operation  619 , the control module  160  controls voice search function termination. If there is no function termination related event occurrence in operation  619 , the control module  160  returns to operation  603  and performs the subsequent operations again. 
       FIG.  7    is a flowchart of a voice command provision related candidate recognition model processing method according to an embodiment of the present disclosure. 
     Referring to  FIG.  7   , in relation to a candidate recognition model processing method, when audio data is collected, the control module  160  performs a candidate recognition model test in operation  701 . For example, the control module  160  may perform the update of the weight (or score) of audio feature data  51 , speech recognition data  53 , and function execution data  55  stored in the storage module  150  on the basis of the received audio analysis data. During this operation, the control module  160  may perform the weight update of at least one of the audio feature data  51 , speech recognition data  53 , and function execution data  55  relating to the specific candidate recognition model  60 . During this operation, the control module  160  may reduce the weight of another candidate recognition model  60  in correspondence to a weight increase of the specific candidate recognition model  60 . 
     In operation  703 , the control module  160  checks whether a recognition model or voice command generation condition is satisfied. For example, when the weight of the specific candidate recognition model  60  is greater than a predetermined value, the control module  160  changes a corresponding candidate recognition model  60  into a recognition model  70 . If the recognition model  70  or voice command generation condition is satisfied in operation  703 , the control module  160  changes the candidate recognition model  60  into the recognition model  70  in operation  705 . Additionally, the control module  160  may control the voice command generation or registration corresponding to the recognition model generation or registration. For example, the control module  160  may generate the voice command  80  on the basis of the speech recognition data  53  and function execution data  55  corresponding to the changed recognition model  70 . 
     If the voice command generation condition is not satisfied in operation  703 , the control module  160  checks whether a candidate recognition model removal condition is satisfied in operation  707 . If the candidate recognition model removal condition is satisfied in operation  707 , the control module  160  removes the candidate recognition model  60 . If the candidate recognition model removal condition is not satisfied in operation  707 , the control module  160  skips operation  709 . For example, if a weight change of a candidate recognition model  60  is between a generation condition and a removal condition, the control module  160  may perform the weight update of a specific candidate recognition model  60 . 
     According to an embodiment of the present disclosure, the control module  160  performs model removal on the recognition model  70  additionally or substitutionally in addition to the candidate recognition model  60 . For example, the control module  160  removes the recognition model  70  stored in the storage module  150 , for example, the recognition model  70  corresponding to a voice command generated through the candidate recognition model  60  or the recognition model  70  corresponding to a voice command generated by a user input, according to the frequency of use and the last use time. 
     In operation  513 , the control module  160  performs voice command processing on the basis of the received audio analysis data. If there is a voice command  80 , the control module  160  may update (for example, weight increase) the weight of a corresponding recognition model  70 . During this operation, the control module  160  may update (for example, weight decrease) the weight of the voice command  80  having no relation to audio analysis data. If there is a recognition model  70  having a weight less than a predetermined value, the control module  160  may remove a corresponding recognition model  70 . When the recognition model  70  is removed, a corresponding voice command  80  may be removed. 
     According to an embodiment of the present disclosure, the voice command providing method may include collecting audio data and updating a voice command  80  set to execute a specific function of an electronic device through a voice command  80  when specific audio data is collected, on the basis of at least one of audio feature data of the audio data, speech recognition data obtained by speech-recognizing the audio data, and function execution data executed in relation to the audio data. 
     According to an embodiment of the present disclosure, the method may include updating the weight of at least one of pre-stored audio feature data  51 , the speech recognition data  53 , and the function execution data  55  in correspondence to the audio data collection and generating the voice command  80  if the weight satisfies a specific condition. 
     According to an embodiment of the present disclosure, the updating of the voice command  80  may include generating a candidate recognition model  60  if the weight satisfies the specific condition, updating the weight of the candidate recognition model  60  in relation to the audio data, and changing the candidate recognition model  60  into a recognition model  70  corresponding to the voice command  80  if the updated weight satisfies the specific condition. 
     According to an embodiment of the present disclosure, the updating of the voice command  80  may include newly registering a voice command  80  corresponding to the recognition model  70  changed from the candidate recognition model  60 . 
     According to an embodiment of the present disclosure, the updating of the voice command  80  may include updating the weight of at least one of a candidate recognition model  60  and recognition model  70  having no relation with the collected audio data and removing at least one of a specific candidate recognition model  60  and a specific recognition model  70  in correspondence to the weight update. 
     According to an embodiment of the present disclosure, the updating of the voice command  80  may include removing a registered voice command  80  corresponding to the recognition model  70  removal. 
     According to an embodiment of the present disclosure, the method may further include outputting at least one of the audio feature data  51 , the speech recognition data  53 , the function execution data  55 , and the voice command  80 . 
     According to an embodiment of the present disclosure, the updating of the weight may include updating the weight of the audio feature data  51  in correspondence to the frequency of occurrence of the audio feature data  51 , updating the speech recognition data  53  in correspondence to the frequency of occurrence of the speech recognition data  53 , and updating the weight of the function execution data  55  on the basis of whether to execute a specific function of the function execution data  55  and a specific function execution duration time of the function execution data  55 . 
     According to an embodiment of the present disclosure, the method may further include transmitting the audio data to a server device  200  and receiving, from the server device  200 , at last one of the audio feature data  51 , the speech recognition data  53 , and the function execution data  55 . 
     According to an embodiment of the present disclosure, the method may further include receiving, from the server device  200 , a voice command generated based on at least one of the audio feature data  51 , the speech recognition data  53 , and the function execution data  55 . 
       FIG.  8    is an illustration of a user interface relating to a voice command provision according to an embodiment of the present disclosure. 
     Referring to  FIG.  8   , the control module  160  performs registration of a new voice command corresponding to specific audio data collection. Accordingly, the display module  150  may output information for guiding voice command registration as shown in a screen  801 . For example, when a user inputs the audio data “show me,” the control module  160  may receive audio analysis data by transmitting corresponding audio data to the server device  200  or may collect audio analysis data by using a speech recognition algorithm and an audio analysis module. The control module  160  may update the audio feature data  51 , speech recognition data  53 , and function execution data  55  for the collected audio data “show me.” If a voice command generation condition is satisfied during an update operation, the control module  160  may generate the audio data “show me” as a new voice command  80 . The display module  140  may display the function execution information “open Map”  810  mapped into the voice command “show me”  820  together. That is, the display module  140  may perform a notification for a voice shortcut function. 
     According to an embodiment of the present disclosure, when a new voice command  80  is generated or an event corresponding to a voice command list view occurs, the control module  160  may perform a control to output a voice command list screen to the display module  140  as shown in a screen  803 . The voice command list, for example, may include “Camera”  831 , “Call Mom”  833 , and “open Map”  835  corresponding to function execution data  55  “Action.” A voice command “Voice” corresponding to the function execution data  55  may include “Camera” and “Picture”  832  corresponding to the “Camera”  831 . Accordingly, when a user pronounces “Camera” or “Picture,” the control module  160  may perform a control to execute a camera function. The voice command “Voice” may include “Mom,” “Mother,” and “Mommy”  834  corresponding to “Call Mom”  833 . The voice command “Voice” may include “show me”  836  corresponding to “open Map”  835 . 
     According to an embodiment of the present disclosure, if the candidate recognition model  60  is updated or an event relating to the view of the candidate recognition model  60  occurs, the control module  160  may provide a screen interface as shown in a screen  805 . A candidate recognition model view screen, for example, may include a function execution data  55  “Action”  851 , a speech recognition data  53  “Transcription”  853 , and a weight “Score Weight”  855 . 
       FIG.  9    is a block diagram of an electronic device according to an embodiment of the present disclosure 
     Referring to  FIG.  9   , the electronic device  900 , for example, may configure all or part of the above-mentioned electronic device  100  shown in  FIG.  1   . Referring to  FIG.  9   , the electronic device  900  includes at least one Application Processor (AP)  910  (for example, the control module  160  of  FIG.  1   ), a communication module  920  (for example, the communication interface  110  of  FIG.  1   ), a Subscriber Identification Module (SIM) card  924 , a memory  930  (for example, the storage module  150  of  FIG.  1   ), a sensor module  940 , an input device  950  (for example, the input module  120  of  FIG.  1   ), a display module  960  (for example, the display module  140  of  FIG.  1   ), an interface  970 , an audio module  980  (for example, the audio module  130  of  FIG.  1   ), a camera module  991 , a power management module  995 , a battery  996 , an indicator  997 , and a motor  998 . 
     The AP  910  may control a plurality of hardware or software components connected to the AP  910  by executing an operating system or an application program. The AP  910  may perform various data processing and calculations with multimedia data. The AP  910  may be implemented with a System on Chip (SoC), for example. According to an embodiment of the present disclosure, the AP  910  may further include a Graphics Processing Unit (GPU). 
     According to an embodiment of the present disclosure, various modules relating to the above-mentioned voice command provision may be implemented in the AP  910 . The AP  910  may control the collection of audio data, the transmission of audio data, the reception of audio analysis data, the update of the storage module  150  on the basis of audio analysis data, the update of the candidate recognition model  60  and the recognition model  70 , and the processing and management of the voice command  80  by performing a control of related modules. 
     According to an embodiment of the present disclosure, various modules relating to the voice command provision may be separately disposed in at least one of a Communication Processor (CP) and an AP  910 . During this operation, modules that a CP controls may be disposed to allow direct communication in the same chipset as the CP or to be connected to the CP through an external interface in terms of hardware. 
     According to an embodiment of the present disclosure, various modules relating to the voice command provision may be disposed in a CP. A CP may control related modules. In this case, the CP may be communicably connected to a cellular communication module and a WiFi module. In relation to this, when each of the configurations is connected via a system bus in the same chipset, when an AP is in a power saving mode, they are communicably connected to each other. When each of the configurations is configured with a different chipset, they are connected through an external interface, and communication may be possible without passing through an AP in terms of hardware. 
     The communication module  920  may perform data transmission/reception between the electronic device  900  (for example, the electronic device  100 ) and the server device  200  connected via network. According to an embodiment of the present disclosure, the communication module  920  may include a cellular module  921 , a WiFi module  923 , a Bluetooth (BT) module  925 , a Global Positioning System (GPS) module  927 , a Near Field Communication (NFC) module  928 , and a Radio Frequency (RF) module  929 . 
     The cellular module  921  may provide voice calls, video calls, text services, or Internet services through a communication network (for example, Long Term Evolution (LTE), LTE Advanced (LTE-A), Code Division Multiple Access (CDMA), Wideband CDMA (WCDMA), Universal Mobile Telecommunications System (UMTS), Wireless Broadband (WiBro), or Global System for Mobile communications (GSM)). The cellular module  921  may perform a distinction and authentication operation on an electronic device in a communication network by using a SIM card  924 , for example. According to an embodiment of the present disclosure, the cellular module  921  may perform at least part of a function that the AP  910  provides. For example, the cellular module  921  may perform at least part of a multimedia control function. 
     According to an embodiment of the present disclosure, the cellular module  921  may further include a Communication Processor (CP). Additionally, the cellular module  921  may be implemented with SoC, for example. As shown in  FIG.  9   , components such as the cellular module  921  (for example, a CP), the memory  930 , or the power management module  995  are separated from the AP  910 , but according to an embodiment of the present disclosure, the AP  910  may be implemented to include some of the above-mentioned components (for example, the cellular module  921 ). 
     According to an embodiment of the present disclosure, the AP  910  or the cellular module  921  (for example, a CP) may load instructions or data, which are received from a nonvolatile memory or at least one of other components connected thereto, into a volatile memory and then may process them. Furthermore, the AP  910  or the cellular module  921  may store data received from or generated by at least one of other components in a nonvolatile memory. 
     According to an embodiment of the present disclosure, the cellular module  921  may be included in the communication interface  110  described with reference to  FIG.  1   . The cellular module  921  may establish a communication channel with the server device  200  during an operation for performing the voice command processing of the electronic device  100 . Additionally, the cellular module  921  may transmit audio data that the electronic device  1000  collects and may receive audio analysis data. According to an embodiment of the present disclosure, the cellular module  921  may receive a voice command and voice command update information from the server device  200 . 
     Each of the WiFi module  923 , the BT module  925 , the GPS module  927 , and the NFC module  928  may include a processor for processing data transmitted/received through a corresponding module. The WiFi module  923  and the BT module  925  may be included in the communication interface  110 . The GPS module  927  may be included in the communication interface  110 . 
     Although the cellular module  921 , the WiFi module  923 , the BT module  925 , the GPS module  927 , and the NFC module  928  are shown as separate blocks in  FIG.  9   , according to an embodiment of the present disclosure, some (for example, at least two) of the cellular module  921 , the WiFi module  923 , the BT module  925 , the GPS module  927 , and the NFC module  928  may be included in one Integrated Circuit (IC) or an IC package. For example, at least some (for example, a CP corresponding to the cellular module  921  and a WiFi processor corresponding to the WiFi module  923 ) of the processors respectively corresponding to the cellular module  921 , the WiFi module  923 , the BT module  925 , the GPS module  927 , and the NFC module  928  may be implemented with one SoC. 
     According to an embodiment of the present disclosure, the WiFi module  923  may be included in the communication interface  110  described with reference to  FIG.  1   . The WiFi module  923  may establish a communication channel between the electronic device  100  and the server device  200 . The WiFi module  923  may transmit at least one of the identification information of audio data and the electronic device  100  or the function type information of the electronic device  100  to the server device  200 . The WiFi module  923  may receive at least one of audio analysis data and voice command update information from the server device  200 . 
     The RF module  929  may be responsible for data transmission, for example, the transmission of an RF signal. The RF module  929  may include a transceiver, a Power Amplifier Module (PAM), a frequency filter, or a Low Noise Amplifier (LNA). Additionally, the RF module  929  may further include components for transmitting/receiving electromagnetic waves in free space in a wireless communication, for example, conductors or conductive wires. Although the cellular module  921 , the WiFi module  923 , the BT module  925 , the GPS module  927 , and the NFC module  928  share one RF module  929  shown in  FIG.  9   , according to an embodiment of the present disclosure, at least one of the cellular module  921 , the WiFi module  923 , the BT module  925 , the GPS module  927 , and the NFC module  928  may perform the transmission/reception of an RF signal through an additional RF module. 
     The SIM card  924  may be inserted into a slot formed at a specific position of an electronic device. The SIM card  924  may include unique identification information (for example, an Integrated Circuit Card Identifier (ICCID)) or subscriber information (for example, an International Mobile Subscriber Identity (IMSI)). According to an embodiment of the present disclosure, the SIM card  924  may be a partial configuration of the memory  930 . When the SIM card  924  is inserted into a slot, the AP  910  may perform the initialization operation of the SIM card  924 . 
     The memory  930  (for example, the storage module  150 ) may include an internal memory  932  or an external memory  934 . The internal memory  932  may include at least one of a volatile memory (for example, Dynamic Random Access Memory (DRAM), Static RAM (SRAM), Synchronous DRAM (SDRAM)) and a non-volatile memory (for example, One Time Programmable Read Only Memory (OTPROM), Programmable ROM (PROM), Erasable and Programmable ROM (EPROM), Electrically Erasable and Programmable ROM (EEPROM), mask ROM, flash ROM, NAND flash memory, and NOR flash memory). According to an embodiment of the present disclosure, the internal memory  932  may be a Solid State Drive (SSD). 
     The external memory  934  may further include a flash drive, for example, a Compact Flash (CF) drive, a Secure Digital (SD) memory card, a Micro SD (Micro-SD) memory card, a Miniature SD (Mini-SD) memory card, an extreme Digital (xD) memory card, or a memory stick. The external memory  934  may be functionally connected to the electronic device  900  through various interfaces. According to an embodiment of the present disclosure, the electronic device  900  may further include a storage device (or a storage medium) such as a hard drive. 
     The sensor module  940  measures physical quantities or detects an operating state of the electronic device  900 , thereby converting the measured or detected information into electrical signals. The sensor module  940  may include at least one of a gesture sensor  940 A, a gyro sensor  940 B, a barometric pressure sensor  940 C, a magnetic sensor  940 D, an acceleration sensor  940 E, a grip sensor  940 F, a proximity sensor  940 G, a color sensor  940 H (for example, a Red, Green, Blue (RGB) sensor), a biometric sensor  940 I, a temperature/humidity sensor  940 J, an illumination sensor  940 K, and an Ultra Violet (UV) light sensor  940 M. Additionally or alternatively, the sensor module  940  may include an Electronic nose (E-nose) sensor, an ElectroMyoGraphy (EMG) sensor, an ElectroEncephalogram (EEG) sensor, an ElectroCardioGram (ECG) sensor, an InfraRed (IR) sensor, an iris sensor, or a fingerprint sensor. The sensor module  940  may further include a control circuit for controlling at least one sensor therein. 
     According to an embodiment of the present disclosure, the sensor module  940  may collect operation related sensor signals of the electronic device  900 . The sensor signals that the sensor module  940  collects may be delivered to the AP  910 . The AP  910  may perform voice command processing on the basis of the delivered sensor signals. For example, the sensor signals delivered from the sensor module  940  may be used as a trigger signal relating to the activation of at least one of a voice command providing function and a voice search function. 
     At least one sensor included in the sensor module  940  may be activated in relation to the management of the electronic device  100 . For example, a sensor signal of a sensor for detecting the grip of the electronic device  100  may be used as a sensor signal relating to voice search function activation. Additionally, a sensor signal of a grip detection sensor may be used as a sensor signal relating to microphone activation. The grip detection sensor may be deactivated in correspondence to a voice search function deactivation. 
     The input device  950  may include a touch panel  952 , a (digital) pen sensor  954 , a key  956 , or an ultrasonic input device  958 . The input device  950  may include the input module  120  of  FIG.  1   . 
     The touch panel  952  may recognize a touch input through at least one of capacitive type, resistive type, infrared type, or ultrasonic type methods, for example. Additionally, the touch panel  952  may further include a control circuit. In the case of the capacitive type method, both direct touch and proximity recognition are possible. The touch panel  952  may further include a tactile layer. In this case, the touch panel  952  may provide a tactile response to a user. According to an embodiment of the present disclosure, the touch panel  952  may generate a touch event relating to the execution of at least one of a voice command providing function and a voice search function. For example, the touch panel  952  may provide a touch event for removing at least one of a candidate recognition model  60  and a recognition model  70  and requesting to change a specific candidate recognition model  60  into a recognition model  70  in relation to a screen interface. According to an embodiment of the present disclosure, the touch panel  952  may generate a touch event for activating or deactivating a screen automatic conversion function or selecting the type of a function to be applied to a screen automatic conversion function. 
     The (digital) pen sensor  954  may be implemented through a method similar or identical to that of receiving a user&#39;s touch input or an additional sheet for recognition. The key  956  may include a physical button, an optical key, or a keypad, for example. At least one key, for example, a home key, in the key  956  may generate a key event relating to voice search function activation or a key event relating to voice command providing function activation. The ultrasonic input device  958 , as a device checking data by detecting sound waves through a microphone (for example, a microphone  988 ) in the electronic device  900 , may provide wireless recognition through an input tool generating ultrasonic signals. According to an embodiment of the present disclosure, the electronic device  900  may receive a user input from an external device (for example, a computer or a server) connected thereto through the communication module  920 . 
     The display module  960  (for example, the display module  140 ) may include a panel  962 , a hologram device  964 , or a projector  966 . The panel  962  may include a Liquid-Crystal Display (LCD) or an Active-Matrix Organic Light-Emitting Diode (AM-OLED). The panel  962  may be implemented to be flexible, transparent, or wearable, for example. The panel  962  and the touch panel  952  may be configured with one module. The hologram  964  may show three-dimensional images in the air by using the interference of light. The projector  966  may display an image by projecting light onto a screen. The screen, for example, may be placed internally or externally to the electronic device  900 . According to an embodiment of the present disclosure, the display  960  may further include a control circuit for controlling the panel  962 , the hologram device  964 , or the projector  966 . 
     The interface  970  may include a High-Definition Multimedia Interface (HDMI)  972 , a Universal Serial Bus (USB)  974 , an optical interface  976 , or a D-subminiature (D-sub) connector  978 , for example. Additionally/alternately, the interface  970  may include a Mobile High-dimension Link (MHL) interface, a Secure Digital (SD) card/Multi-Media Card (MMC) interface, or an Infrared Data Association (IrDA) standard interface. 
     The audio module  980  (for example, the audio module  130  of  FIG.  1   ) converts sound into electrical signals and vice versa. The audio module  980  may process sound information inputted/outputted through a speaker  982 , a receiver  984 , an earphone  986 , or a microphone  988 . According to an embodiment of the present disclosure, the audio module  130  disposed in the electronic device  100  may collect audio data. Additionally, the audio module  130  may output audio data relating to function execution by a voice command. 
     The camera module  991 , as a device for capturing a still image and a video, may include at least one image sensor (for example, a front sensor or a rear sensor), a lens, an Image Signal Processor (ISP), or a flash (for example, a Light-Emitting Diode (LED) or a xenon lamp). 
     The power management module  995  manages the power of the electronic device  900 . According to an embodiment of the present disclosure, the power management module  995  may control the power supply of at least one device element of the electronic device  100 . For example, when the battery power of the electronic device  100  is less than a setting value, the power management module  995  may cut off the power supply of specific device elements (for example, a sensor module  940 , a communication module  920  for establishing a direct communication channel, a GPS module  927 , and so on). The power management module  995  may change the power supply of device elements activated in relation to a communication function of the electronic device  100  according to a communication connection release with the server device  200 . The power management module  995  may include a Power Management IC (PMIC), a charger IC, or a battery gauge, for example. 
     The PMIC may be built in an IC or an SoC semiconductor, for example. A charging method may be classified into a wired method and a wireless method. The charger IC may charge a battery and may prevent overvoltage or overcurrent flow from a charger. According to an embodiment of the present disclosure, the charger IC may include a charger IC for at least one of a wired charging method and a wireless charging method. The wireless charging method includes, for example, a magnetic resonance method, a magnetic induction method, or an electromagnetic method. An additional circuit for wireless charging, for example, a circuit such as a coil loop, a resonant circuit, or a rectifier circuit, may be added. 
     The battery gauge measures the remaining battery power amount of the battery  996 , or a voltage, current, or temperature of the battery  396  during charging. The battery  996  may store or generate electrical power and may supply electrical power to the electronic device  900  by using the stored or generated electrical power. The battery  996 , for example, may include a rechargeable battery or a solar battery. 
     The indicator  997  may display a specific state of the electronic device  900  or part thereof (for example, the AP  910 ), for example, a booting state, a message state, or a charging state. According to an embodiment of the present disclosure, the indicator  997  may display a voice command providing function state, a voice search function execution state, and a voice command based function execution available state. The indicator  997  may display a connection state of the voice command provision based server device  200  The motor  998  may convert electrical signals into mechanical vibration. The electronic device  900  may include a processing device (for example, a GPU) for mobile TV support. A processing device for mobile TV support may process media data according to the standards such as Digital Multimedia Broadcasting (DMB), Digital Video Broadcasting (DVB), or media flow. 
     Each of the above-mentioned components of the electronic device according to an embodiment of the present disclosure may be configured with at least one component and the name of a corresponding component may vary according to the kind of an electronic device. An electronic device according to an embodiment of the present disclosure may include at least one of the above-mentioned components, may not include some of the above-mentioned components, or may further include another component. Additionally, some of components in an electronic device according to an embodiment of the present disclosure are configured as one entity, so that functions of previous corresponding components are performed identically. 
     The term “module” used in various embodiments of the present disclosure, for example, may refer to a unit including a combination of at least one of hardware, software, and firmware. The terms “module,” “unit,” “logic,” “logical block,” “component,” or “circuit” may be interchangeably used. The term “module” may refer to a minimum unit or part of an integrally configured component. The term “module” may refer to a minimum unit performing at least one function or part thereof. The “module” may refer to a device implemented mechanically or electronically. For example, the term “module” according to various embodiments of the present disclosure may refer to at least one of an Application-Specific Integrated Circuit (ASIC) performing specific operations, Field-Programmable Gate Arrays (FPGAs), or a programmable-logic device, all of which are known or will be developed in the future. 
     According to an embodiment of the present disclosure, at least part of a device (for example, modules or functions thereof) or a method (for example, operations) according to the present disclosure, for example, as in a form of a programming module, may be implemented using an instruction stored in non-transitory computer-readable storage media. When at least one processor (for example, the processor  210 ) executes an instruction, it may perform a function corresponding to the instruction. The non-transitory computer-readable storage media may include the memory  930 , for example. At least part of a programming module may be implemented (for example, executed) by the Application Processor  910 , for example. At least part of a programming module may include a module, a program, a routine, sets of instructions, or a process to perform at least one function, for example. 
     The non-transitory computer-readable storage media may include magnetic media such as a hard disk, a floppy disk, and a magnetic tape, optical media such as a Compact Disc Read Only Memory (CD-ROM) and a Digital Versatile Disc (DVD), magneto-optical media such as a floptical disk, and a hardware device especially configured to store and perform a program instruction (for example, a programming module) such as a Read Only Memory (ROM), a Random Access Memory (RAM), and a flash memory. Additionally, a program instruction may include high-level language code executable by a computer using an interpreter in addition to machine readable code generated by a complier. The hardware device may be configured to operate as at least one software module to perform an operation of an embodiment of the present disclosure and vice versa. 
     A module or a programming module according to an embodiment of the present disclosure may include at least one of the above-mentioned components, may not include some of the above-mentioned components, or may further include another component. Operations performed by a module, a programming module, or other components according to an embodiment of the present disclosure may be executed through a sequential, parallel, repetitive or heuristic method. Additionally, some operations may be executed in a different order or may be omitted, or other operations may be added. 
     The terms “include,” “comprise,” “have,” “may include,” “may comprise” and “may have” used herein indicate disclosed functions, operations, or the existence of elements but do not exclude other functions, operations or elements. Additionally, in an embodiment of the present disclosure, the terms “include,” “comprise,” “including,” or “comprising,” specify a property, a region, a fixed number, an operation, a process, an element and/or a component but do not exclude other properties, regions, fixed numbers, operations, processes, elements and/or components. 
     In an embodiment of the present disclosure, the expressions “A or B” or “at least one of A or/and B” may include all possible combinations of items listed together. For instance, the expressions “A or B” or “at least one of A and/or B” may include A, B, or both A and B. 
     The terms such as “1 st ” “2 nd ” “first,” “second,” and the like used herein may refer to modifying various different elements of various embodiments of the present disclosure, but do not limit the elements. For instance, such expressions do not limit the order and/or importance of corresponding components. The expressions may be used to distinguish one element from another element. For example, a first component may be referred to as a second component and vice versa without departing from the scope and spirit of the present disclosure. 
     In the disclosure below, when one part (or element, device, etc.) is referred to as being “connected” to another part (or element, device, etc.), it should be understood that the former can be “directly connected” to the latter, or “connected” to the latter via an intervening part (or element, device, etc.). In contrast, when an element is referred to as being “directly connected” or “directly coupled” to another element, there are no intervening elements present. 
     In an embodiment of the present disclosure, terms used in the present disclosure are used to describe specific embodiments, and are not intended to limit the scope of the present disclosure. The terms of a singular form may include plural forms unless they have a clearly different meaning in the context. 
     Unless otherwise indicated herein, all the terms used herein, which include technical or scientific terms, may have the same meanings that are generally understood by a person skilled in the art. In general, the terms defined in the dictionary should be considered to have the same meanings as the contextual meanings of the related art, and, unless clearly defined herein, should not be understood abnormally or as having excessively formal meanings. 
     According to an embodiment of the present disclosure, electronic devices may include at least one of smartphones, tablet Personal Computers (PCs), mobile phones, video phones, electronic book (e-book) readers, desktop PCs, laptop PCs, netbook computers, Personal Digital Assistants (PDAs), Portable Multimedia Players (PMPs), Moving Picture Experts Group Audio Layer 3 (MP3) players, mobile medical devices, cameras, and wearable devices (for example, Head-Mounted-Devices (HMDs) such as electronic glasses, electronic apparel, electronic bracelets, electronic necklaces, electronic appcessories, electronic tattoos, and smart watches). 
     According to an embodiment of the present disclosure, an electronic device may be smart home appliances. The smart home appliances may include at least one of, for example, televisions, Digital Video Disk (DVD) players, audio players, refrigerators, air conditioners, cleaners, ovens, microwave ovens, washing machines, air cleaners, set-top boxes, TV boxes (for example, Samsung HomeSync™, Apple TV™ or Google TV™), game consoles, electronic dictionaries, electronic keys, camcorders, and electronic picture frames. 
     According to an embodiment of the present disclosure, an electronic device may include at least one of various medical devices (for example, Magnetic Resonance Angiography (MRA) devices, Magnetic Resonance Imaging (MM) devices, Computed Tomography (CT) devices, medical imaging devices, ultrasonic devices, etc.), navigation devices, Global Positioning System (GPS) receivers, Event Data Recorders (EDRs), Flight Data Recorders (FDRs), vehicle infotainment devices, marine electronic equipment (for example, marine navigation systems, gyro compasses, etc.), avionics, security equipment, vehicle head modules, industrial or household robots, financial institutions&#39; Automatic Teller Machines (ATMs), and vendors&#39; Point of Sale (POS) devices. 
     In an embodiment of the present disclosure, an electronic device may include at least one of part of furniture or buildings/structures supporting call forwarding service, electronic boards, electronic signature receiving devices, projectors, and various measuring instruments (for example, water meters, electricity meters, gas meters, or radio signal measuring instruments). An electronic device according to an embodiment of the present disclosure may be one of the above-mentioned various devices or a combination thereof. Additionally, an electronic device according to an embodiment of the present disclosure may be a flexible device. Furthermore, it is apparent to those skilled in the art that an electronic device according to an embodiment of the present disclosure is not limited to the above-mentioned devices. 
     According to an embodiment of the present disclosure, fast function processing is supported by converting audio data that a user uses frequently into a voice command. 
     Additionally, according to an embodiment of the present disclosure, when audio data is converted into a voice command, additional server device management is unnecessary so that a wireless data resource is not necessary. 
     Additionally, according to an embodiments of the present disclosure, when voice commands are updated based on an audio data management history, the management of unnecessary voice commands is reduced and voice commands for a function that a user wants to frequently use are managed efficiently. 
     Also, embodiments of the present disclosure disclosed in the present disclosure and the accompanying drawings are provided as examples to describe the technical content and facilitate understanding but are not intended to limit the scope of the present disclosure. Accordingly, it should be construed that besides the embodiments of the present disclosure listed herein, all modifications or modified forms derived based on the technical ideas of the present disclosure are included in the scope of the present disclosure, as defined by the appended claims and their equivalents.