Patent Publication Number: US-2023138068-A1

Title: Voice evaluation system, voice evaluation method, and computer program

Description:
TECHNICAL FIELD 
     This disclosure relates to a voice evaluation system, a voice evaluation method, and a computer program that evaluate voice. 
     BACKGROUND ART 
     A known system of this type is a system that obtains uttered voice and estimates a speaker’s feeling. For example, Patent Literature 1 discloses a technique/technology of quantitatively analyzing a feeling of anger and a feeling of embarrassment from a customer’s voice who calls a call center. Patent Literature 2 discloses a technique/technology of classifying the feelings into “laugh,” “anger,” “sadness,” and the like, by using a parameter of a voice feature amount extracted from input voice data. Patent Literature 3 discloses a technique/technology of outputting a quantitative index obtained by converting the feelings such as joy, anger, satisfaction, stress, and reliability, into numerals by using interactive voice data as an input. 
     CITATION LIST 
     Patent Literature 
     
         
         Patent Literature 1: JP2007-004001A 
         Patent Literature 2: JP2005-354519A 
         Patent Literature 3: JP Patent No. 6517419 
       
    
     SUMMARY 
     Technical Problem 
     In each of the Patent Literatures described above, mainly one-to-one conversation is intended to be a target, and evaluation about voice uttered by a group is not considered. 
      It is an example object of this disclosure to provide a voice evaluation system, a voice evaluation method, and a computer program for solving the problems described above. 
     Solution to Problem 
     A voice evaluation system according to an example aspect of this disclosure includes: an acquisition unit that obtains voice uttered by a group of a plurality of persons; a detection unit that detects an element corresponding to a feeling from the obtained voice; and an evaluation unit that evaluates the obtained voice on the basis of the detected element. 
     A voice evaluation method according to an example aspect of this disclosure includes: obtaining voice uttered by a group of a plurality of persons; detecting an element corresponding to a feeling from the obtained voice; and evaluating the obtained voice on the basis of the detected element. 
     A computer program according to an example aspect of this disclosure operates a computer: to obtain voice uttered by a group of a plurality of persons; to detect an element corresponding to a feeling from the obtained voice; and to evaluate the obtained voice on the basis of the detected element. 
    
    
     
       BRIEF DESCRIPTION OF DRAWINGS 
         FIG.  1    is a block diagram illustrating an overall configuration of a voice evaluation system according to a first example embodiment. 
         FIG.  2    is a block diagram illustrating a hardware configuration of the voice evaluation system according to the first example embodiment. 
         FIG.  3    is a flowchart illustrating a flow of operation of the voice evaluation system according to the first example embodiment. 
         FIG.  4    is a block diagram illustrating an overall configuration of a voice evaluation system according to a second example embodiment. 
         FIG.  5    is a flowchart illustrating a flow of operation of the voice evaluation system according to the second example embodiment. 
         FIG.  6    is a block diagram illustrating an overall configuration of a voice evaluation system according to a third example embodiment. 
         FIG.  7    is a flowchart illustrating a flow of operation of the voice evaluation system according to the third example embodiment. 
         FIG.  8    is a block diagram illustrating an overall configuration of a voice evaluation system according to a fourth example embodiment. 
         FIG.  9    is a flowchart illustrating a flow of operation of the voice evaluation system according to the fourth example embodiment. 
         FIG.  10    is version 1 of a diagram illustrating a display example of evaluation data according to a fifth example embodiment. 
         FIG.  11    is version 2 of a diagram illustrating a display example of the evaluation data according to the fifth example embodiment. 
         FIG.  12    is version 3 of a diagram illustrating a display example of the evaluation data according to the fifth example embodiment. 
         FIG.  13    is version 4 of a diagram illustrating a display example of the evaluation data according to the fifth example embodiment. 
         FIG.  14    is version 5 of a diagram illustrating a display example of the evaluation data according to the fifth example embodiment. 
         FIG.  15    is a block diagram illustrating an overall configuration of a voice evaluation system according to a sixth example embodiment. 
         FIG.  16    is a flowchart illustrating a flow of operation of the voice evaluation system according to the sixth example embodiment. 
         FIG.  17    is a conceptual diagram illustrating voice evaluation in each area by a voice evaluation system according to a seventh example embodiment. 
     
    
    
     DESCRIPTION OF EXAMPLE EMBODIMENTS 
     Hereinafter, a voice evaluation system, a voice evaluation method, and a computer program according to example embodiments will be described with reference to the drawings. 
     First Example Embodiment 
     A voice evaluation system according to a first example embodiment will be described with reference to  FIG.  1    to  FIG.  3   . 
     System Configuration 
     First, with reference to  FIG.  1   , a description will be given to an overall configuration of the voice evaluation system according to the first example embodiment.  FIG.  1    is a block diagram illustrating the overall configuration of the voice evaluation system according to the first example embodiment. 
     In  FIG.  1   , a voice evaluation system  10  according to the first example embodiment is configured as a system that is configured to evaluate voice uttered by a group. The “group” herein is a gathering of people including a plurality of persons, and specifically, an example of the group includes an audience of various events, such as the stage and sports watching. The voice evaluation system  10  includes, as functional blocks for realizing its function, a voice acquisition unit  110 , a feeling element detection unit  120 , and a voice evaluation unit  130 . 
     The voice acquisition unit  110  is configured to obtain voice uttered by the group (hereinafter referred to as “collective voice” as appropriate). The voice acquisition unit  110  includes, for example, a microphone located where a group is formed. The voice acquisition unit  110  may be configured to perform various processes for the obtained voice (e.g., a noise cancellation process, a process of extracting a particular section, etc.). The collective voice obtained by the voice acquisition unit  110  is configured to be outputted to the feeling element detection unit  120 . 
     The feeling element detection unit  120  is configured to detect a feeling element from the collective voice obtained by the voice acquisition unit  110 . The “feeling element” herein is an element indicating a feeling of the group included in the voice, and an example of the feeling element includes, for example, an element corresponding to a feeling of “joy,” an element corresponding to a feeling of “anger,” and an element corresponding to a feeling of “sadness” or the like. The feeling element detection unit  120  is configured to detect at least one type of feeling element set in advance. The existing technology can be adopted for a method of detecting the feeling element from voice as appropriate. For example, it is possible to use a method that uses frequency analysis of the voice, a method that uses deep learning, or the like. Information about the feeling element detected by the feeling element detection unit  120  is configured to be outputted to the voice evaluation unit  130 . 
     The voice evaluation unit  130  is configured to evaluate the collective voice on the basis of the feeling element detected by the feeling element detection unit  120 . Specifically, the voice evaluation unit  130  is configured to evaluate a degree of the feeling of the group from the feeling element detected from the collective voice. The voice evaluation unit  130  evaluates the collective voice, for example, by converting the feeling element into numerals. For example, when the element corresponding to the feeling of “joy” is detected, the voice evaluation unit  130  calculates a score corresponding to the feeling of “joy” of the group and makes an evaluation. Specifically, when the collective voice mainly includes the element corresponding to the feeling of “joy”, the score corresponding to the feeling of “joy” may be calculated as a high value. On the other hand, when the collective voice does not mainly include the element corresponding to the feeling of “joy”, the score corresponding to the feeling of “joy” may be calculated as a low value. 
     Hardware Configuration 
     Next, with reference to  FIG.  2   , a hardware configuration of the voice evaluation system  10  according to the first example embodiment.  FIG.  2    is a block diagram illustrating a hardware configuration of the voice evaluation system according to the first example embodiment. 
     As illustrated in  FIG.  2   , the voice evaluation system  10  according to the first example embodiment includes a processor  11 , a RAM (Random Access Memory)  12 , a ROM (Read Only Memory)  13 , and a storage apparatus  14 . The voice evaluation system  10  may further include an input apparatus  15  and an output apparatus  16 . The processor  11 , the RAM  12 , the ROM  13 , the storage apparatus  14 , the input apparatus  15 , and the output apparatus  16  are connected through a data bus  17 . The voice evaluation system  10  may include a plurality of processors  11 , a plurality of RAMs  12 , a plurality of ROMs  13 , a plurality of storage apparatuses  14 , a plurality of input apparatuses  15 , and a plurality of output apparatuses  16 . 
     The processor  11  reads a computer program. For example, the processor  11  is configured to read a computer program stored in at least one of the RAM  12 , the ROM  13  and the storage apparatus  14 . Alternatively, the processor  11  may read a computer program stored by a computer readable recording medium by using a not-illustrated recording medium reading apparatus. The processor  11  may obtain (i.e., read) a computer program from a not-illustrated apparatus that is located outside the voice evaluation system  10  through a network interface. The processor  11  controls the RAM  12 , the storage apparatus  14 , the input apparatus  15 , and the output apparatus  16  by executing the read computer program. Especially in the first example embodiment, when the computer program read by the processor  11  is executed, a functional block for evaluating the obtained voice is implemented in the processor  11  (see  FIG.  1   ). As the processor  11 , any one of a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a FPGA(field-programmable gate array), a DSP (digital signal processor), and an ASIC(application specific integrated circuit) may be used. Furthermore, a plurality of those may be used in parallel. 
     The RAM  12  temporarily stores the computer program to be executed by the processor  11 . The RAM  12  temporarily stores the data that is temporarily used by the processor  11  when the processor  11  executes the computer program. The RAM  12  may be, for example, a D-RAM (Dynamic RAM). 
     The ROM  13  stores the computer program to be executed by the processor  11 . The ROM  13  may otherwise store fixed data. The ROM  13  may be, for example, a P-ROM (Programmable ROM). 
     The storage apparatus  14  stores the data that is stored for a long term by the voice evaluation system  10 . The storage apparatus  14  may operate as a temporary storage apparatus of the processor  11 . The storage apparatus  14  may include, for example, at least one of a hard disk apparatus, a magneto-optical disk apparatus, an SSD (Solid State Drive), and a disk array apparatus. 
     The input apparatus  15  is an apparatus that receives an input instruction from a user of the voice evaluation system  10 . The input apparatus  15  may include, for example, at least one of a keyboard, a mouse, and a touch panel. 
     The output apparatus  16  is an apparatus that outputs information about the voice evaluation system  10  to the outside. For example, the output apparatus  16  may be a display apparatus (e.g., a display) that is configured to display the information about the voice evaluation system  10 . 
     Flow of Operation 
     Next, with reference to  FIG.  3   , a description will be given to a flow of operation of the voice evaluation system  10  according to the first example embodiment.  FIG.  3    is a flowchart illustrating the flow of the operation of the voice evaluation system according to the first example embodiment. 
     As illustrated in  FIG.  3   , in operation of the voice evaluation system  10  according to the first example embodiment, first, the voice acquisition unit  110  obtains the collective voice (step S 11 ). The voice acquisition unit  110  may obtain voice all the time, or may obtain it only in a predetermined period. Alternatively, the voice acquisition unit  110  may perform a process of obtaining the voice all the time and extracting only the voice for a predetermined period. 
     Subsequently, the feeling element detection unit  120  detects the feeling element from the collective voice obtained by the voice acquisition unit  110  (step S 12 ). Then, the voice evaluation unit  130  evaluates the collective voice on the basis of the feeling element detected by the feeling element detection unit  120  (step S 13 ). A result of the evaluation by the voice evaluation unit  130  may be outputted, for example, to a not-illustrated display apparatus. 
     Technical Effect 
     Next, an example of a technical effect obtained by the voice evaluation system  10  according to the first example embodiment will be described. 
     For example, in venues of various events such as the stage and sports watching, the voice uttered by the group (e.g., a cheer, a scream, etc.) varies depending on excitement. Therefore, if such voice can be properly evaluated, to what extent an event is accepted by visitors can be supposedly determined. 
     As described in  FIG.  1    to  FIG.  3   , in the voice evaluation system  10  according to the first example embodiment, an evaluation is made by detecting the feeling element from collective voice uttered by the group. Therefore, according to the voice evaluation system  10  in the first example embodiment, it is possible to properly evaluate the feeling of the group by using the collective voice. For example, in the voice evaluation system  10  according to the first example embodiment, in an event that attracts a large audience or the like, it is possible to make an evaluation, by converting the excitement of the audience or the like into numerals, from the voice. It is therefore possible to objectively evaluate whether or not the event is successful. 
     Since the voice evaluation system  10  according to the first example embodiment evaluates the collective voice uttered by the group, it is possible to properly evaluate the feeling as a whole group, for example, even in a situation where it is difficult to obtain the voice from each person. Moreover, since an evaluation can be made only by the voice without using a face image or the like, it is possible to properly evaluate the feeling of the group even in poor illumination. 
     Second Example Embodiment 
     A voice evaluation system according to a second example embodiment will be described with reference to  FIG.  4    and  FIG.  5   . The second example embodiment is partially different from the first example embodiment described above only in configuration and operation, and is generally the same in the other part. Therefore, the parts that differ from the first example embodiment will be described in detail below, and the other overlapping parts will not be described as appropriate. 
     System Configuration 
     First, with reference to  FIG.  4   , a description will be given to an overall configuration of the voice evaluation system according to the second example embodiment.  FIG.  4    is a block diagram illustrating the overall configuration of the voice evaluation system according to the second example embodiment. In  FIG.  4   , the same components as those illustrated in  FIG.  1    carry the same reference numerals. 
     As illustrated in  FIG.  4   , in the voice evaluation system  10  according to the second example embodiment, the voice acquisition unit  110  includes an utterance section recording unit  111  and a silence section recording unit  112 . The feeling element detection unit  120  includes a first element detection unit  121 , a second element detection unit  122 , a third element detection unit  123 , and a fourth element detection unit  124 . 
     The utterance section recording unit  111  records the voice obtained in a section in which the group utters the voice. The voice recorded by the utterance section recording unit  111  is configured to be outputted to the feeling element detection unit  120 . On the other hand, the silence section recording unit  112  records a section in which the group does not utter the voice (e.g., a section in which a volume is less than or equal to a predetermined threshold). The section recorded by the silence section recording unit  112  is not outputted to the feeling element detection unit  120 , but is directly outputted to an evaluation data generation unit  140  (in other words, it is out of an evaluation target). In this way, it is possible to reduce a processing load of the system by limiting the section for voice evaluation. 
     The first element detection unit  121 , the second element detection unit  122 , the third element detection unit  123 , and the fourth element detection unit  124  are configured to detect respective different feeling elements. For example, the first element detection unit  121  may detect the feeling element corresponding to the feeling of “joy”. The second element detection unit  122  may detect the feeling element corresponding to the feeling of “anger”. The third element detection unit  123  may detect the feeling element corresponding to the feeling of “sadness”. The fourth element detection unit  124  may detect a feeling element corresponding to a feeling of “pleasure”. 
     Hardware Configuration 
     A hardware configuration of the voice evaluation system  10  according to the second example embodiment may be the same as the hardware configuration of the voice evaluation system  10  according to the first example embodiment (see  FIG.  2   ), and thus, a description thereof will be omitted. 
     Flow of Operation 
     Next, with reference to  FIG.  5   , a description will be given to a flow of operation of the voice evaluation system  10  according to the second example embodiment.  FIG.  5    is a flowchart illustrating the flow of the operation of the voice evaluation system according to the second example embodiment. 
     As illustrated in  FIG.  5   , in operation of the voice evaluation system  10  according to the second example embodiment, first, the voice acquisition unit  110  obtains the collective voice (step S 21 ). The voice acquisition unit  110  also extracts the voice in the section in which the group actually utters the voice, from the obtained voice (step S 22 ). Specifically, the utterance section recording unit  111  records the voice in the section in which the group utters the voice, and the silence section recording unit  112  records the section in which the group does not utter the voice. 
     Subsequently, the feeling element detection unit  120  detects the feeling elements from the collective voice obtained by the voice acquisition unit  110  (step S 23 ). Specifically, the first element detection unit  121 , the second element detection unit  122 , the third element detection unit  123 , and the fourth element detection unit  124  detect the respective feeling elements corresponding to different feelings. 
     The respective feeling elements detected by the first element detection unit  121 , the second element detection unit  122 , the third element detection unit  123 , and the fourth element detection unit  124  are inputted to the voice evaluation unit  130 . Then, the voice evaluation unit  130  evaluates the collective voice on the basis of the feeling elements detected by the feeling element detection unit  120  (step S 24   a ). 
     Technical Effect 
     Next, an example of a technical effect obtained by the voice evaluation system  10  according to the second example embodiment will be described. 
     As described in  FIG.  4    and  FIG.  5   , in the voice evaluation system  10  according to the second example embodiment, the feeling element detection unit  120  includes the first element detection unit  121 , the second element detection unit  122 , the third element detection unit  123 , and the fourth element detection unit  124 . It is therefore possible to extract a plurality of types of feeling elements from the voice obtained by the voice acquisition unit  110 . This makes it possible to realize voice evaluation corresponding to the type of the feeling. 
     Third Example Embodiment 
     A voice evaluation system according to a third example embodiment will be described with reference to  FIG.  6    and  FIG.  7   . The third example embodiment is partially different from the first and second example embodiments described above only in configuration and operation, and is generally the same in the other part. Therefore, the parts that differ from the first and second example embodiments will be described in detail below, and the other overlapping parts will not be described as appropriate. 
     System Configuration 
     First, with reference to  FIG.  6   , a description will be given to an overall configuration of the voice evaluation system according to the third example embodiment.  FIG.  6    is a block diagram illustrating the overall configuration of the voice evaluation system according to the third example embodiment. In  FIG.  4   , the same components as those illustrated in  FIG.  1    and  FIG.  4    carry the same reference numerals. 
     As illustrated in  FIG.  6   , in the voice evaluation system  10  according to the third example embodiment, the voice evaluation unit  130  includes a first evaluation unit  131 , a second evaluation unit  132 , a third evaluation unit  133 , and a fourth evaluation unit  134 . 
     The first evaluation unit  131  is configured to evaluate the voice on the basis of the feeling element detected by the first element detection unit  121 . The second evaluation unit  132  is configured to evaluate the voice on the basis of the feeling element detected by the second element detection unit  122 . The third evaluation unit  133  is configured to evaluate the voice on the basis of the feeling element detected by the third element detection unit  123 . The fourth evaluation unit  134  is configured to evaluate the voice on the basis of the feeling element detected by the fourth element detection unit  124 . 
     Hardware Configuration 
     A hardware configuration of the voice evaluation system  10  according to the third example embodiment may be the same as the hardware configuration of the voice evaluation system  10  according to the first example embodiment (see  FIG.  2   ), and thus, a description thereof will be omitted. 
     Flow of Operation 
     Next, with reference to  FIG.  7   , a description will be given to a flow of operation of the voice evaluation system  10  according to the third example embodiment.  FIG.  7    is a flowchart illustrating the flow of the operation of the voice evaluation system according to the third example embodiment. 
     As illustrated in  FIG.  7   , in operation of the voice evaluation system  10  according to the third example embodiment, first, the voice acquisition unit  110  obtains the collective voice (the step S 21 ). The voice acquisition unit  110  extracts the voice in the section in which the group actually utters the voice, from the obtained voice (the step S 22 ). 
     Subsequently, the feeling element detection unit  120  detects the feeling elements, from the collective voice obtained by the voice acquisition unit  110  (the step S 23 ). Specifically, the first element detection unit  121 , the second element detection unit  122 , the third element detection unit  123 , and the fourth element detection unit  124  detect the respective feeling elements corresponding to different feelings. The respective feeling elements detected by the first element detection unit  121 , the second element detection unit  122 , the third element detection unit  123 , and the fourth element detection unit  124  are inputted to the voice evaluation unit  130 . 
      Subsequently, the voice evaluation unit  130  evaluates the collective voice on the basis of the feeling elements detected by the feeling element detection unit  120  (step S 24 ). Specifically, the first evaluation unit  131 , the second evaluation unit  132 , the third evaluation unit  133 , and the fourth evaluation unit  134  separately make evaluations on the basis of the feeling elements detected by the first element detection unit  121 , the second element detection unit  122 , the third element detection unit  123 , and the fourth element detection unit  124 , respectively. 
     Technical Effect 
     Next, an example of a technical effect obtained by the voice evaluation system  10  according to the third example embodiment will be described. 
     As described in  FIG.  6    and  FIG.  7   , in the voice evaluation system  10  according to the third example embodiment, the voice evaluation unit  130  includes the first evaluation unit  131 , the second evaluation unit  132 , the third evaluation unit  133 , and the fourth evaluation unit  134 . It is thus possible to separately perform the voice evaluation for each of the plurality of types of feeling elements detected by the first element detection unit  121 , the second element detection unit  122 , the third element detection unit  123 , and the fourth element detection unit  124 . 
     Fourth Example Embodiment 
     A voice evaluation system according to a fourth example embodiment will be described with reference to  FIG.  8    and  FIG.  9   . The fourth example embodiment is partially different from the first to third example embodiments described above only in configuration and operation, and is generally the same in the other part. Therefore, the parts that differ from the first to third example embodiments will be described in detail below, and the other overlapping parts will not be described as appropriate. 
     System Configuration 
     First, with reference to  FIG.  8   , a description will be given to an overall configuration of the voice evaluation system according to the fourth example embodiment.  FIG.  8    is a block diagram illustrating the overall configuration of the voice evaluation system according to the fourth example embodiment. In  FIG.  8   , the same components as those illustrated in  FIG.  1   ,  FIG.  4   , and  FIG.  6    carry the same reference numerals. 
     As illustrated in  FIG.  8   , the voice evaluation system  10  according to the fourth example embodiment may include an evaluation data generation unit  140  in addition to the components in the third example embodiment (see  FIG.  6   ). The voice evaluation system  10  according to the fourth example embodiment may include the evaluation data generation unit  140  in addition to the components in the first example embodiment (see  FIG.  1   ). Alternatively, the voice evaluation system  10  according to the fourth example embodiment may include the evaluation data generation unit  140  in addition to the components in the second example embodiment (see  FIG.  4   ). 
     The evaluation data generation unit  140  is configured to generate evaluation data by integrating evaluation results of the first evaluation unit  131 , the second evaluation unit  132 , the third evaluation unit  133 , and the fourth evaluation unit  134  with information about the section stored in the silence section recording unit  112 . The evaluation data are generated as data for the user of the voice evaluation system  10  to properly understand the evaluation results. A specific example of the evaluation data will be described in detail later in a fifth example embodiment. 
     Hardware Configuration 
     A hardware configuration of the voice evaluation system  10  according to the fourth example embodiment may be the same as the hardware configuration of the voice evaluation system  10  according to the first example embodiment (see  FIG.  2   ), and thus, a description thereof will be omitted. The evaluation data generation unit  140  may be implemented, for example, by the processor  11  (see  FIG.  2   ). 
     Flow of Operation 
     Next, with reference to  FIG.  9   , a description will be given to a flow of operation of the voice evaluation system  10  according to the fourth example embodiment.  FIG.  9    is a flowchart illustrating the flow of the operation of the voice evaluation system according to the fourth example embodiment. 
     As illustrated in  FIG.  9   , in operation of the voice evaluation system  10  according to the fourth example embodiment, first, the voice acquisition unit  110  obtains the collective voice (the step S 21 ). The voice acquisition unit  110  extracts the voice in the section in which the group actually utters the voice, from the obtained voice (step S 22 ). 
     Subsequently, the feeling element detection unit  120  detects the feeling elements from the collective voice obtained by the voice acquisition unit  110  (the step S 23 ). Specifically, the first element detection unit  121 , the second element detection unit  122 , the third element detection unit  123 , and the fourth element detection unit  124  detect the respective feeling elements corresponding to different feelings. Then, the voice evaluation unit  130  evaluates the collective voice on the basis of the feeling elements detected by the feeling element detection unit  120  (the step S 24 ). Specifically, the first evaluation unit  131 , the second evaluation unit  132 , the third evaluation unit  133 , and the fourth evaluation unit  134  evaluate the collective voice by using the respective different feeling elements. 
     Subsequently, the evaluation data generation unit  140  generates the evaluation data from the evaluation result of the collective voice (step S 25 ). The evaluation data generated by the evaluation data generation unit  140  may be outputted, for example, to a not-illustrated display apparatus or the like. 
     Technical Effect 
     Next, an example of a technical effect obtained by the voice evaluation system  10  according to the fourth example embodiment will be described. 
     As described in  FIG.  8    and  FIG.  9   , in the voice evaluation system  10  according to the fourth example embodiment, the evaluation data are generated by the evaluation data generation unit  140 . Therefore, it is possible to properly understand the evaluation result of the collective voice by using the evaluation data. 
     Fifth Example Embodiment 
     Next, the voice evaluation stem  10  according to a fifth example embodiment will be described with reference to  FIG.  10    to  FIG.  14   . The fifth example embodiment shows specific examples of the evaluation data generated by the evaluation data generation unit  140  according to the fourth example embodiment described above. A system configuration, a hardware configuration, and a flow of operation may be the same as those in the fourth example embodiment, and thus, a detailed description thereof will be omitted. 
     With reference to  FIG.  10    to  FIG.  14   , specific examples of the evaluation data generated by the evaluation data generation unit  140  will be described.  FIG.  10    is version 1 of a diagram illustrating a display example of the evaluation data according to a fifth example embodiment.  FIG.  11    is version 2 of a diagram illustrating a display example of the evaluation data according to the fifth example embodiment.  FIG.  12    is version 3 of a diagram illustrating a display example of the evaluation data according to the fifth example embodiment.  FIG.  13    is version 4 of a diagram illustrating a display example of the evaluation data according to the fifth example embodiment.  FIG.  14    is version 5 of a diagram illustrating a display example of the evaluation data according to the fifth example embodiment. In the following, a description will be given to an example in which the voice evaluation system  10  evaluates four types of feelings of “joy”, “anger”, “sadness”, and “pleasure”. 
     As illustrated in  FIG.  10   , the evaluation data may be represented by a bar graph illustrating the extent of each feeling. In the example illustrated in  FIG.  10   , it is intuitively apparent that the feeling of “joy” is the most, and that the feelings of “anger,” “pity,” and “pleasure” are less than the feeling of “joy”. 
     As illustrated in  FIG.  11   , the evaluation data may be represented by a circle whose size indicates the extent of each feeling. In the example illustrated in  FIG.  11   , it is intuitively apparent that the feeling of “anger” is the most, and that the feelings of “joy”, “sadness”, and “pleasure” are less than the feeling of “joy”. 
     As illustrated in  FIG.  12   , the evaluation data may be represented by a table on which the extent of each feeling is converted into a numeral. In the example illustrated in  FIG.  12   , the feeling of “joy” is “70,” the feeling of “anger” is “10,” the feeling of “sadness” is “5,” and the feeling of “pleasure” is “15.” It is thus possible to more accurately understand the extent of each feeling. 
     As illustrated in  FIG.  13   , the evaluation data may be represented by a change in the extent of each feeling on a time axis (in other words, time series data). In the example illustrated in  FIG.  13   , it is possible to concretely understand how the feeling of “joy” changes with time. According to such evaluation data, it is possible to accurately understand the timing of the excitement of an event, or the like. Although only a graph corresponding to the feeling of “joy” is illustrated here, it is also possible to switch to a graph corresponding to another feeling, to display a list including the graph corresponding to another feeling, or to perform similar actions. 
     As illustrated in  FIG.  14   , the evaluation data may be generated as data including a video area D1 for displaying a video and a graph area D2 for displaying a graph illustrating the extent of each feeling. In the video area D1, a video that captures the event can be reproduced, and it is possible to move to a desired timing by operating a seek bar SB. On the other hand, in the graph area D2, the extent of each feeling according to the timing of the reproduction of the video displayed in the moving image area D1 is illustrated in a bar graph. In this way, it is possible to understand how the feelings of the group have actually changed in what situation. 
     It is also possible to combine and use the respective display examples described above as appropriate. Furthermore, the display examples of the evaluation data described above are merely examples, and the evaluation data may be displayed in another display aspect. 
     Technical Effect 
     Next, an example of a technical effect obtained by the voice evaluation system  10  according to the fifth example embodiment will be described. 
     As described in  FIG.  10    to  FIG.  14   , in the voice evaluation system  10  according to the fifth example embodiment, the evaluation data indicating the evaluation result of the collective voice in an easy-to-understand manner are generated. Therefore, according to the voice evaluation system  10  in the fifth example embodiment, it is possible to understand the evaluation result of the collective voice, properly (e.g., more intuitively or more accurately). 
     Sixth Example Embodiment 
     A voice evaluation system according to a sixth example embodiment will be described with reference to  FIG.  15    and  FIG.  16   . The sixth example embodiment is partially different from the first to fifth example embodiments described above only in configuration and operation, and is generally the same in the other part. Therefore, the parts that differ from the first to fifth example embodiments will be described in detail below, and the other overlapping parts will not be described as appropriate. 
     System Configuration 
     First, with reference to  FIG.  15   , a description will be given to an overall configuration of the voice evaluation system according to the sixth example embodiment.  FIG.  15    is a block diagram illustrating the overall configuration of the voice evaluation system according to the sixth example embodiment. In  FIG.  15   , the same components as those illustrated in  FIG.  1   ,  FIG.  4   ,  FIG.  6   , and  FIG.  8    carry the same reference numerals. 
     As illustrated in  FIG.  15   , in the voice evaluation system  10  according to the sixth example embodiment, the feeling element detection unit  120  includes a scream element detection unit  125  in addition to the components in the fourth example embodiment (see  FIG.  6   ). Furthermore, the voice evaluation unit  130  includes an abnormality determination unit  135 . 
     The scream element detection unit  125  is configured to detect a feeling element corresponding to a scream (hereinafter referred to as a “scream element” as appropriate) from the voice obtained by the voice acquisition unit  110 . Here, the “scream” is a scream uttered from the group in occurrence of abnormality in a surrounding environment of the group (e.g., in natural disasters such as earthquakes), and is clearly differentiated, for example, from a scream similar to a shout of joy or a cheer. The differentiation between the scream in occurrence of abnormality and another scream can be realized, for example, by machine learning that uses a neural network. Information about the scream element detected by the scream element detection unit  125  is configured to be outputted to the abnormality determination unit  135 . 
     The abnormality determination unit  135  is configured to determine whether or not abnormality has occurred in the surrounding environment of the group, on the basis of the scream element detected by the scream element detection unit  125 . The abnormality determination unit  135  determines whether or not abnormality has occurred on the basis of the extent of the feeling corresponding to the scream obtained as an evaluation result using the scream element. For example, the abnormality determination unit  135  calculates a score of the feeling corresponding to the scream from the scream element, and when the score exceeds a predetermined threshold, the abnormality determination unit  135  may determine that abnormality has occurred, and when the score does not exceed the predetermined threshold, the abnormality determination unit  135  may determine that abnormality has not occurred. 
     Hardware Configuration 
     A hardware configuration of the voice evaluation system  10  according to the sixth example embodiment may be the same as the hardware configuration of the voice evaluation system  10  according to the first example embodiment (see  FIG.  2   ), and thus, a description thereof will be omitted. 
     Flow of Operation 
     Next, with reference to  FIG.  16   , a description will be given to a flow of operation of the voice evaluation system  10  according to the sixth example embodiment.  FIG.  16    is a flowchart illustrating the flow of the operation of the voice evaluation system according to the sixth example embodiment. In  FIG.  16   , the same steps as those in  FIG.  5   ,  FIG.  7   , and  FIG.  9    carry the same reference numerals. 
     As illustrated in  FIG.  16   , in operation of the voice evaluation system  10  according to the sixth example embodiment, first, the voice acquisition unit  110  obtains the collective voice (the step S 21 ). The voice acquisition unit  110  extracts the voice of the section in which the group actually utters the voice, from the obtained voice (the step S 22 ). 
     Subsequently, the feeling element detection unit  120  detects the feeling elements from the collective voice obtained by the voice acquisition unit  110  (the step S 23 ). Specifically, the first element detection unit  121 , the second element detection unit  122 , the third element detection unit  123 , and the fourth element detection unit  124  detect the respective feeling elements corresponding to different feelings. In addition, especially in the sixth example embodiment, the scream element detection unit  125  detects the scream element (step S 31 ). 
     Subsequently, the voice evaluation unit  130  evaluates the collective voice on the basis of the feeling elements detected by the feeling element detection unit  120  (the step S 24 ). Specifically, the first evaluation unit  131 , the second evaluation unit  132 , the third evaluation unit  133 , and the fourth evaluation unit  134  evaluate the collective voice by using the respective different feeling elements. Furthermore, especially in the sixth example embodiment, the abnormality determination unit  135  determines whether or not abnormality has occurred in the surrounding environment of the group on the basis of the scream element detected by the scream element detection unit  125  (step S 32 ) 
     Subsequently, the evaluation data generation unit  140  generates the evaluation data from the evaluation result of the collective voice (the step S 25 ). Here, in particular, when it is determined in the abnormality determination unit  135  that abnormality has occurred, the evaluation data generation unit  140  generates the evaluation data including information about the abnormality (e.g., abnormality occurrence timing, etc.). Alternatively, the evaluation data generation unit  140  may generate abnormal notification data for notifying the occurrence of abnormality, separately from the normal evaluation data. In this case, the abnormality notification data may include, for example, data for controlling an operation of an alarm of an event venue. 
     Technical Effect 
     Next, an example of a technical effect obtained by the voice evaluation system  10  according to the sixth example embodiment will be described. 
     As described in  FIG.  15    and  FIG.  16   , in the voice evaluation system  10  according to the sixth example embodiment, it is determined whether or not abnormality has occurred on the basis the scream element. Therefore, according to the voice evaluation system  10  in the sixth example embodiment, it is possible not only to evaluate the feelings of the group from the voice, but also to detect the occurrence of abnormality in the surrounding environment of the group. 
     Seventh Example Embodiment 
     A voice evaluation system according to a seventh example embodiment will be described with reference to  FIG.  17   . The seventh example embodiment is partially different from the first to sixth example embodiments described above only in configuration and operation, and is generally the same in the other part. Therefore, the parts that differ from the first to sixth example embodiments will be described in detail below, and the other overlapping parts will not be described as appropriate. 
     System Configuration 
     An overall configuration of the voice evaluation system  10  according to the seventh example embodiment may be the same as the overall configurations of the voice evaluation system  10  according to the first to sixth example embodiments (see  FIG.  1   ,  FIG.  4   ,  FIG.  6   ,  FIGS.  8 , and  15   ), and thus, a description thereof will be omitted. 
     Hardware Configuration 
     A hardware configuration of the voice evaluation system  10  according to the seventh example embodiment may be the same as the hardware configuration of the voice evaluation system  10  according to the first example embodiment (see  FIG.  2   ), and thus, a description thereof will be omitted. 
     Voice Evaluation in Each Area 
     Next, with reference to  FIG.  17   , voice evaluation in each area that can be performed by the voice evaluation system  10  according to the seventh example embodiment will be described.  FIG.  17    is a conceptual diagram illustrating the voice evaluation in each area by the voice evaluation system according to the seventh example embodiment. In the following, a case of evaluating the voice uttered by a group that is the audience of a stage will be described as an example. 
     As illustrated in  FIG.  17   , in the voice evaluation system  10  according to the seventh example embodiment, the group is divided into a plurality of areas in advance. In the example illustrated, a stage  500  is divided into three areas: an area A, an area B, and an area C. 
     The voices uttered by respective groups in the area A, the area B, and the area C can be obtained as different voices. Specifically, the voice uttered by the group in the area A may be obtained by a microphone  200   a . The voice uttered by the group in the area B may be obtained by a microphone  200   b . The voice uttered by the group in the area C may be obtained by a microphone  200   c . Each of the microphones  200   a  to  200   c  is configured as a part of the voice acquisition unit  110 , and each voice in respective one of the areas A to C is obtained by the voice acquisition unit  110 . 
     Flow of Operation 
     In operation of the voice evaluation system  10  according to the seventh example embodiment, the same steps as those in the voice evaluation system  10  according to the first to sixth example embodiments (see  FIG.  3   ,  FIG.  5   ,  FIG.  7   ,  FIG.  9   , and  FIG.  16   ) are performed on each voice obtained from respective one of the areas (e.g., the area A, the area B, and the area C in  FIG.  17   ). That is, the same process is performed in each area, and there is no change in the steps. For this reason, a specific flow of the operation steps will not be described. 
     Technical Effect 
     Next, an example of a technical effect obtained by the voice evaluation system  10  according to the seventh example embodiment will be described. 
     As described in  FIG.  17   , in the voice evaluation system  10  according to the seventh example embodiment, the group is divided into a plurality of areas to obtain the collective voice, and the voice is evaluated in each area. As a result, the evaluation result of the voice (or the evaluation data) is obtained in each area. Therefore, according to the voice evaluation system  10  in the seventh example embodiment, it is possible to divide a group into a plurality of areas, and to evaluate the feelings of the group in each of the areas. 
     Supplementary Note 
     The example embodiments described above may be further described as, but not limited to, the following Supplementary Notes. 
     Supplementary Note 1 
     A voice evaluation system described in Supplementary Note 1 is a voice evaluation system including: an acquisition unit that obtains voice uttered by a group of a plurality of persons; a detection unit that detects an element corresponding to a feeling from the obtained voice; and an evaluation unit that evaluates the obtained voice on the basis of the detected element. 
     Supplementary Note 2 
     A voice evaluation system described in Supplementary Note 2 is the voice evaluation system described in Supplementary Note 1, wherein the detection unit detects elements corresponding to a plurality of types of feelings from the obtained voice. 
     Supplementary Note 3 
     A voice evaluation system described in Supplementary Note 3 is the voice evaluation system described in Supplementary Note 2, wherein the evaluation unit evaluates the obtained voice for each feeling, on the basis of the elements corresponding to the plurality of types of feelings. 
     Supplementary Note 4 
     A voice evaluation system described in Supplementary Note 4 is the voice evaluation system described in any one of Supplementary Notes 1 to 3, wherein the evaluation unit generates evaluation data indicating an evaluation result of the obtained voice. 
     Supplementary Note 5 
     A voice evaluation system described in Supplementary Note 5 is the voice evaluation system described in Supplementary Note 4, wherein the evaluation unit generates the evaluation data as time series data. 
     Supplementary Note 6 
     A voice evaluation system described in Supplementary Note 6 is the voice evaluation system described in Supplementary Note 4 or 5, wherein the evaluation unit generates the evaluation data by graphically showing the evaluation result. 
     Supplementary Note 7 
     A voice evaluation system described in Supplementary Note 7 is the voice evaluation system described in any one of Supplementary Notes 1 to 6, wherein the evaluation unit detects occurrence of abnormality in a surrounding environment of the group, from the evaluation result of the obtained voice. 
     Supplementary Note 8 
     A voice evaluation system described in Supplementary Note 8 is the voice evaluation system described in any one of Supplementary Notes 1 to 7, wherein the acquisition unit obtains the voice uttered by the group by dividing the group into a plurality of area, and the evaluation unit evaluates the obtained voice in each of the areas. 
     Supplementary Note 9 
     A voice evaluation method described in Supplementary Note 9 is A voice evaluation method including: obtaining voice uttered by a group of a plurality of persons; detecting an element corresponding to a feeling from the obtained voice; and evaluating the obtained voice on the basis of the detected element. 
     Supplementary Note 10 
     A computer program described in Supplementary Note 10 is a computer program that operates a computer: to obtain voice uttered by a group of a plurality of persons; to detect an element corresponding to a feeling from the obtained voice; and to evaluate the obtained voice on the basis of the detected element. 
     This disclosure is not limited to the examples described above and is allowed to be changed, if desired, without departing from the essence or spirit of the invention which can be read from the claims and the entire specification. A voice evaluation system, a voice evaluation method, and a computer program with such modifications are also intended to be within the technical scope of this disclosure. 
     Description of Reference Codes 
     
         
           10  Voice evaluation system 
           110  Voice acquisition unit 
           111  Utterance section recording unit 
           112  Silence section recording unit 
           120  Feeling element detection unit 
           121  First element detection unit 
           122  Second element detection unit 
           123  Third element detection unit 
           124  Fourth element detection unit 
           125  Scream element detection unit 
           130  Voice evaluation unit 
           131  First evaluation unit 
           132  Second evaluation unit 
           133  Third evaluation unit 
           134  Fourth evaluation unit 
           135  Abnormality determination unit 
           140  Evaluation data generation unit 
           200  Microphone 
           500  Audience seats