JP6733452B2 - Speech analysis program, speech analysis device, and speech analysis method - Google Patents

Description

The present invention relates to a voice analysis program, a voice analysis device, and a voice analysis method.

BACKGROUND ART A technique is known in which a speaker's voice during a discussion is collected and a time period in which a utterance exceeding a noise level is being displayed is displayed on a band graph to visualize a period during which a utterance is made.

JP, 11-53385, A JP, 2005-197867, A

However, even though the speaker has been speaking for a long period of time, if the microphone is only speaking slowly, or if the microphone detects a nonsensical growl at a certain volume, these utterances may occur. The time zone in which is done is displayed as a band graph. As described above, although these utterances do not make much sense as discussions, they may be displayed as if they were active discussions in the obi graph.

In one aspect, an object of the present invention is to make it possible to grasp with high accuracy how much information is transmitted in a discussion.

It is to be noted that the present invention is not limited to the above-mentioned object, and it is also an object of the present invention to exhibit the operational effects that are obtained by the respective configurations shown in the modes for carrying out the invention to be described later, and which cannot be obtained by the conventional technology. Can be positioned as one of the

In one aspect, the voice analysis program may cause a computer to execute the following processing. The process may include a process of receiving voices of a plurality of speakers. Further, the processing may include processing of converting the received voices of the plurality of speakers into text by voice recognition. Further, the process may include a process of specifying the number of characters of the text corresponding to each voice of the plurality of speakers at predetermined time intervals. Further, the process may include a process of outputting a graph showing the number of characters corresponding to each voice of the plurality of speakers at the predetermined time intervals. Furthermore, each of the plurality of speakers belongs to any one of the plurality of first classification groups and also belongs to any one of the plurality of second classification groups, and to each of the plurality of first classification groups. May include speakers belonging to different second classification groups. Further, the graph showing the number of characters may be a graph generated for a plurality of speakers belonging to the same first classification group. Further, the process may include a process of controlling to switch the graph showing the number of characters to a graph generated for a plurality of speakers belonging to the same second classification group.
In another aspect, the voice analysis program may cause a computer to execute the following processing. The process may include a process of receiving voices of a plurality of speakers. Further, the processing may include processing of converting the received voices of the plurality of speakers into text by voice recognition. Further, the process may include a process of specifying the number of characters of the text corresponding to each voice of the plurality of speakers at predetermined time intervals. Further, the process may include a process of outputting a graph showing the number of characters corresponding to each voice of the plurality of speakers at the predetermined time intervals. Further, the processing is a line graph in which a graph indicating the number of characters is plotted on a display range including a time axis and a character number axis, and the number of characters corresponding to each voice of the plurality of speakers at the predetermined time is plotted. , A bar graph showing a cumulative value of the number of characters corresponding to each voice of the plurality of speakers for each of the predetermined times may be included in the display range, and a process of performing control for switching between the bar graph and the bar graph may be included.

In one aspect, it is possible to accurately grasp how much information is being transmitted in the discussion.

It is a block diagram showing an example of composition of a speech analysis system concerning one embodiment. It is a figure which shows an example of a speech database. It is a figure which shows an example of the graph produced|generated by the graph production|generation part. It is a figure which shows an example of the text information displayed on a display area. It is a figure which shows an example of the popup of the text information displayed on a graph area|region. It is a figure which shows an example of the popup of the number of utterance characters displayed on a graph area. It is a figure which shows an example of the popup of the user information displayed on a graph area|region. It is a figure which shows an example before and after the change of the display scale of a graph. It is a figure which shows an example before and after the change of the total time unit of a graph. It is a figure which shows an example at the time of adding the operation area for changing the total unit time to the display area of a graph. It is a figure which shows an example of the graph which paid its attention to one 2nd classification group. It is a figure which shows an example of a stacked graph. It is a figure which shows an example of the conditions specification screen of the graph displayed on a display area. It is a flow chart explaining an example of operation by a voice converter. 7 is a flowchart illustrating an operation example of a graph output unit. It is a flow chart explaining an example of operation of graph display change processing. FIG. 2 is a block diagram showing a hardware configuration example of the computer shown in FIG. 1.

Hereinafter, embodiments of the present invention will be described with reference to the drawings. However, the embodiments described below are merely examples, and are not intended to exclude various modifications and application of techniques not explicitly shown below. For example, the present embodiment can be variously modified and implemented without departing from the spirit thereof. In addition, in the drawings used in the following embodiments, parts denoted by the same reference numerals represent the same or similar parts unless otherwise specified.

[1] One Embodiment [1-1] Configuration Example of Speech Analysis System The speech analysis system according to one embodiment can be used, for example, for analyzing the content of a statement in a discussion. Examples of the discussion include a class in which a plurality of people participate and speak (for example, collaborative learning), a conference, and the like.

In the following explanation, the case where the speech analysis system is used in a collaborative learning method called “knowledge composition type jigsaw method” (hereinafter simply referred to as “jigsaw method”) developed by the Consortium for Educational Support from University (COREF) An example will be described. In the jigsaw method, which is an example of active learning, lessons are given in the following flow.

(1) A questioner (for example, a teacher) sets “tasks” that can be solved by combining some knowledge as “knowledge parts”.

(2) Students write answers that they can think of by themselves for the “assignment”.

(3) Divide students into groups that read the same materials. Students discuss the contents and meanings of the materials to deepen their understanding in groups. This material describes the "parts of knowledge" that are different for each group. The activity here is called "expert activity".

(4) Divide students into new groups, one for each student who has read a different "part of knowledge" material. Students explain what they have learned in their own expert activities in a new group, and when they have a deeper understanding, they combine each "knowledge part" to create an answer to the "task". The activities here are called "jigsaw activities".

(5) Present the answers with the basis for each jigsaw activity group.

(6) The student writes the answer to the "task" by himself.

For example, the voice analysis system collects and analyzes the conversation voice of each student in the jigsaw activity of (4) above and displays the utterance amount for each student in a graph to visualize the discussion situation of the students during the lesson.

As a result, the teacher can grasp with high accuracy how much information is being transmitted in the discussion, and the understanding level of each student's knowledge gained through the expert activity in (3) above and the motivation to participate in the lesson. Can be properly captured. For example, the teacher can appropriately grasp the transformation of the student's learning from various points of view, using the graph output by the voice analysis system and the document or electronic data in (2) and (6) above as a judgment material.

In addition to or in place of the jigsaw activity in (4) above, the voice analysis system collects/analyzes voices regarding expert activities in (3) above and presentations by group in (5) above. You may display.

[1-2] Configuration Example of Speech Analysis System Next, a speech analysis system 1 according to an embodiment will be described with reference to FIG. As shown in FIG. 1, the voice analysis system 1 according to the embodiment may include a computer 10, a network 20, and a terminal 30, for example.

The computer 10 is an example of a voice analysis device that performs voice analysis on utterance contents of a plurality of speakers. The speaker may be a participant in the discussion, for example, a student in the jigsaw method described above.

Examples of the computer 10 include various information processing devices such as a PC (Personal Computer) such as a desktop or a laptop, a tablet, a smartphone, a PDA (Personal Digital Assistant), or a server.

As illustrated in FIG. 1, the computer 10 may include, for example, a sound collection device 11, a voice conversion unit 12, a graph output unit 13, an utterance database (DB) 14, and a display device 15.

The sound collection device 11 is a device that collects sound. The speaker's voice collected by the sound collector 11 is output to the voice converter 12. The sound collector 11 may be connected to the computer 10 by wire or wirelessly, or may be built in the computer 10. Examples of the sound collecting device 11 include various types of microphones such as a pin microphone, a headset, a wearable microphone such as an earphone microphone, and a grip type or a stationary microphone such as a hand microphone.

One or more sound collecting devices 11 may exist in the computer 10, and one sound collecting device 11 may collect the voices of one or more speakers. When one sound collecting device 11 collects the sounds of a plurality of speakers, the computer 10 recognizes the sounds of the plurality of speakers collected by the sound collecting device 11 for each speaker by a speaker recognition process. May be provided. Alternatively, when the voice analysis system 1 includes a terminal 30 (sound collector 31) described later, the computer 10 may not include the sound collector 11.

The voice conversion unit 12 converts the voice collected by the sound collector 11 into text corresponding to the utterance content, and registers the converted text in the utterance database 14.

The graph output unit 13 generates a graph showing the time change of the utterance amount for each speaker based on the information stored in the utterance database 14, and outputs the graph to the display device 15.

The utterance database 14 is a database that stores text information converted from voice by the voice conversion unit 12.

The display device 15 displays the graph generated and output by the graph output unit 13. Examples of the display device 15 include a display such as a PC monitor and a touch panel, which is connected to or built in (installed) in the computer 10, a projector, a printer, or the like.

The network 20 may include, for example, any one of a LAN (Local Area Network), a WAN (Wide Area Network), and the Internet, or any combination thereof. The network 20 may include one or both of a wired network and a wireless network.

The terminal 30 includes a sound collecting device 31 that collects sound, and transmits the sound of the speaker collected by the sound collecting device 31 to the computer 10 via the network 20. As the sound collection device 31, for example, the same microphone as the sound collection device 11 described above can be used.

The terminal 30 may be a computer to which the sound collecting device 31 is connected or a built-in sound collecting device 31, or the sound collecting device 31 itself having a communication function. Examples of the computer include an information processing device similar to the computer 10 described above, or a telephone device such as a mobile phone.

A plurality of terminals 30 may exist in the voice analysis system 1, and a plurality of sound collecting devices 31 may exist in the terminal 30. When the computer 10 includes the sound collecting device 11, the terminal 30 does not have to be present in the voice analysis system 1. In the following description, it is assumed that the computer 10 performs the voice analysis based on the voice collected by the sound collecting device 11, but the voice collected by the sound collecting device 31 may be similarly analyzed. it can.

[1-3] Description of Speech Analysis Processing Next, speech analysis processing by the speech conversion unit 12 and the graph output unit 13 will be described.

The voice conversion unit 12 may include a voice acquisition unit 121 and a text conversion unit 122, as illustrated in FIG. 1.

The voice acquisition unit 121 is an example of a reception unit that receives each voice of a plurality of speakers. For example, the voice acquisition unit 121 acquires the voice collected by the sound collection device 11 and outputs the acquired voice to the text conversion unit 122. At this time, the voice acquisition unit 121 may output the acquired voice to the text conversion unit 122 for each speaker and each utterance.

For example, when one sound collecting device 11 collects the sound of one speaker, the sound of each speaker is a sound collected by the sound collecting device 11. Alternatively, when one sound collecting device 11 collects voices of a plurality of speakers, the voice of each speaker is a voice for each speaker obtained by the speaker recognition processing. For example, the voice acquisition unit 121 or the sound collection device 11 may have a speaker recognition function of recognizing and separating the acquired voice for each speaker.

The speech-based speech may be positioned as, for example, a continuous (series) speech of a speaker. The continuous utterance may be, for example, a period from when the voice is detected to when the voice is interrupted. As an example, the voice acquisition unit 121 may detect that the voice is interrupted when silence is continuously detected for a certain period of time (in other words, no voice is detected). The silence may mean that the strength of the detected voice is below a certain level.

The text conversion unit 122 is an example of a text conversion unit that converts the voices of the plurality of speakers received by the voice acquisition unit 121 into text by voice recognition. For example, the text conversion unit 122 performs voice recognition processing on the voice acquired by the voice acquisition unit 121 and acquires the text indicating the utterance content.

Further, the text conversion unit 122 may count the number of characters corresponding to the text converted from voice. By counting the number of characters by the text conversion unit 122, it is possible to acquire the utterance amount for a meaningful word.

As a result, although the speaker is uttering a long period of time, the sound collector 11 may detect slowly speaking or a meaningless grunt at a certain volume. Even in the case, it is possible to quantitatively capture the information transmitted by the speaker.

The text converted from the voice may include a plurality of character types such as kana, kana, kanji, alphabets, symbols (punctuation marks, long sound, etc.). In this case, the count of the number of characters corresponding to the text may be the total number of characters of all these character types or the number of characters excluding some character types such as symbols. Note that the number of characters in one kanji may be counted as “1” or may be counted in the number of kana furigana. The characters to be counted may be limited to the characters that make up a meaningful word in the discussion in the text. The meaningful word may be identified by comparison with a word registered in dictionary data included in the computer 10, for example. Furthermore, words that have no meaning in the discussion such as “aa” and “um” may be excluded from the characters to be counted.

The acquisition of the number of characters may be performed by the graph output unit 13 instead of the text conversion unit 122.

The text information converted by the text conversion unit 122 is registered in the utterance database 14 illustrated in FIG. 2 together with related information.

As illustrated in FIG. 2, the utterance database 14 illustratively includes “date”, “time”, “user”, “first classification group”, “second classification group”, “utterance unit”, and “ The item “number of characters” may be included.

In the “date” and the “time”, information on the date and time when the sound is acquired by the sound collector 11 or when the sound acquisition unit 121 receives the sound may be set. Identification information for identifying a speaker, for example, a user ID (Identifier) may be set in the “user”. The user ID may be set in advance for each sound collection device 11, or may be associated with the preset user ID for each speaker recognized by the voice acquisition unit 121 by speaker recognition.

A group set by the user may be set in each of the “first classification group” and the “second classification group”. For example, in the jigsaw method described above, the jigsaw activity group of (4) above may be set to the "first classification group", and the expert activity group of (3) above may be set to the "second classification group". Good.

In this way, each of the plurality of users belongs to one of the plurality of first classification groups and also belongs to one of the plurality of second classification groups, and each of the plurality of first classification groups includes , Users belonging to different second classification groups may be included.

In the example of FIG. 2, two classification groups are shown assuming that the voice analysis system 1 is used in a jigsaw lesson, but the number of classification groups is not limited to this. In the utterance database 14, one classification group may be set, or three or more classification groups may be set, depending on the form of discussion.

The text of the utterance unit converted by the text conversion unit 122 may be set in the “utterance unit”. The “number of characters” may be set to the number of characters in the utterance unit counted by the text conversion unit 122 (or the graph output unit 13).

Returning to the description of FIG. 1, the graph output unit 13 may include a graph generation unit 131 and a control unit 132.

The graph generation unit 131 generates a graph showing the time change of the utterance amount for each speaker based on the information stored in the utterance database 14 according to the operation of the operator of the computer 10, and outputs the graph to the display device 15. The operator may be a person who analyzes the utterance content in the discussion, and may be, for example, a teacher in the jigsaw method described above.

The graph generation unit 131 may use a Web browser installed in the computer 10 as an interface for displaying a graph. Other applications may be used instead of the Web browser.

FIG. 3 shows an example of the graph generated by the graph generation unit 131. The graph may be displayed in the graph area 160 in the display area 150 of the display device 15. The display area 150 may be, for example, a window area of a web browser. The graph area 160 may have a display range including a time axis on the horizontal axis and a character number axis on the vertical axis, and the graph indicates, on the graph area 160, the number of characters corresponding to each voice of a plurality of users at regular time intervals. It may be a line graph in which is plotted.

The graph may be generated for a plurality of users belonging to the same first classification group, and the amount of speech may be indicated by one broken line for each user. In the example of FIG. 3, the polygonal lines of the number of characters corresponding to the text of each utterance content of “USER1,” “USER2,” and “USER3” belonging to the first classification group “groupA” (see FIG. 2) are solid lines, It is shown in the graph area 160 by a broken line and a one-dot chain line. The polygonal line of each user may be distinguished from the polygonal lines of other users by various methods such as a difference in line color and thickness in addition to the difference in line type.

The graph generation unit 131 specifies, for example, the number of characters uttered by a speaker belonging to the first classification group requested by the operator in a certain time based on the utterance database 14. Then, the graph generation unit 131 may generate a polygonal line for each user by plotting points corresponding to the specified number of characters and time in the graph area 160 and connecting the plotted points.

Here, the fixed time (in other words, the total unit time of the number of characters) that is the range of the time for specifying the number of characters may be, for example, several tens of seconds to several minutes. This fixed time may be variable, for example, according to the scale of the time axis of the graph area 160 or the operation by the operator.

As an example, when the fixed time is one minute, the number of characters uttered by “USER1” in the range shown in FIG. 2 from “15:45:00” to “15:45:59” is “15:45”. The total of "22" characters of ":33" and "8" characters of "15:45:42" is "30" characters. In this case, the graph generation unit 131 may mark a point at a position where a specific time on the horizontal axis of the graph intersects with the vertical axis “30” (character). In this way, the graph generation unit 131 may calculate the number of uttered characters for each user at regular time intervals and plot the number in the graph area 160. The specific time on the horizontal axis of the graph may be any time from the start time to the end time of the time range. For example, start time “15:45:00” and intermediate time “15:45:30”. ”, end time “15:45:59”, etc.

When the number of characters item does not exist in the utterance database 14 (when the text conversion unit 122 does not count the number of characters), the graph generation unit 131 performs a process of counting the number of characters from the text-formed utterance content in the utterance database 14. You may do it.

As described above, the graph generation unit 131 or the text conversion unit 122 and the graph generation unit 131 is an example of a specification unit that specifies the number of characters of the text corresponding to each voice of a plurality of speakers at predetermined time intervals. ..

The graph generation unit 131 is also an example of an output unit that outputs a graph showing the number of characters corresponding to each voice of a plurality of speakers at predetermined time intervals.

The graph generation unit 131 may collect additional information in the process of generating a graph. The additional information is information related to the graph displayed in the graph area 160, and may be displayed in various modes in a predetermined area of the graph area 160, for example.

Examples of the additional information include text information spoken by the user, numerical information on the number of characters plotted in the graph, information on the first or second classification group to which the user belongs, and various other information. By displaying the additional information in the graph area 160, the operator can use the additional information as an auxiliary judgment material, and can analyze the utterance situation based on the graph with higher accuracy.

As an example, a case where the additional information is text information will be described. As illustrated in FIG. 4, the display area 150 may display a text area 166 that displays text information and utterance time. For example, the text area 166 may display text that has been uttered or text-converted within the latest fixed time (total unit time). In the example of FIG. 4, the total unit time immediately before the latest time “11:10” is “11:09:00” to “11:09:59” (when the total unit time is 1 minute). The text of the utterance content is described for each speaker.

The additional information may be pop-up displayed in the graph area 160. As an example, as shown in FIG. 5, when the mouse cursor 164 operated by the operator is located within the graph area 160, the utterance content and time of each user corresponding to the time on the graph where the mouse cursor 164 is located pops up. It may be displayed as 167. This makes it easy to understand the text spoken by each user in association with the number of characters.

As another example of the additional information displayed in a pop-up, as shown in FIG. 6, a numerical value of the number of characters uttered by each user corresponding to the time on the graph where the mouse cursor 164 is located may be displayed in a pop-up 168. .. By displaying the numerical value of the number of characters as the additional information, the number of characters spoken by each user can be easily grasped.

In the example of FIG. 6, at the points A and B at which the time point on the graph where the mouse cursor 164 is located and the polygonal line of each user intersect, the number of characters uttered by “USER1” and “USER2” are respectively displayed in the pop-up 168. It is displayed. As for “USER3” indicated by the symbol C, the display in the pop-up 168 is omitted because the number of utterances at that time is “0”. However, when the number of utterances is “0”, it is also displayed in the pop-up 168. It may be displayed.

As another example, as shown in FIG. 7, the second classification group to which the user of the broken line where the mouse cursor 164 is located may belong to the pop-up 169. Accordingly, when the graph for one first classification group is displayed, it is possible to easily understand which second classification group the user having one broken line belongs to, and the second classification within the first classification group. It becomes easy to analyze and compare the degree of understanding of each group.

In the example of FIG. 7, the second classification group “groupX” (see FIG. 2) to which “USER1” corresponding to the polygonal line where the mouse cursor 164 is positioned (contacts) is displayed in the pop-up 169.

The graph generation unit 131 may display at least one additional information illustrated in FIGS. 4 to 7 based on the information acquired from the utterance database 14. Note that the graph generation unit 131 may generate a code for displaying the text area 166 or the pop-ups 167 to 169 based on the acquired information when generating the graph and embed the code in the content page of the display area 150.

The information displayed as the additional information is not limited to the above-mentioned information. For example, information such as a worksheet or a teaching material created by the user on the polygonal line where the mouse cursor 164 is located may be displayed as a popup. The worksheet is a submitted item filled in by the user for the assignment, and as an example, the information input in (2) or (6) in the jigsaw method described above can be mentioned. Further, the teaching material is a material used by a student or a teacher, and as an example, the material used in (3) of the above-described jigsaw method can be mentioned.

The control unit 132 performs various controls regarding the graph displayed on the display device 15.

For example, the control unit 132 may control updating of the graph displayed in the graph area 160. In one embodiment, the graph output unit 13 outputs the graph in parallel with the information registration in the utterance database 14 by the voice conversion unit 12. For this reason, the control unit 132 may cause the graph generation unit 131 to reflect the information newly added to the utterance database 14 in the graph at a predetermined cycle, for example, at an interval of 1 minute. By shortening the predetermined cycle, the utterance situation can be grasped in a form closer to real time.

Further, the control unit 132 may perform at least one of the following (a) and (b) in response to a request from the operator.

(A) Graph Scale Change Control In the display area 150, a zoom button 162 for changing the scale and display range of the graph and a scale change area 170 are displayed as a web page layout (see FIG. 3 and the like). ).

The zoom button 162 scales the horizontal axis of the graph area 160 to 1 hour (“1h”), 3 hours (“3h”), 6 hours (“6h”), 12 hours (“12h”), and entire (“ This is a button that you can switch by selecting from "All").

The scale change area 170 is an area for designating a range to be displayed in the graph area 160 from the entire graph displayed in the preview area 172 by operating the two adjusting units 174 and the slider 176. For example, by moving the two adjusting sections 174 (knobs) in the preview area 172, the graph between the adjusting sections 174 in the preview area 172 is displayed in the graph area 160. Further, by sliding the slider 176, the graph in the preview area 172 can be moved in the time axis direction.

When the control unit 132 receives an operation input of the zoom button 162 or the scale change region 170 by the operator, the control unit 132 may control the graph generation unit 131 to display a graph according to the operation input in the graph region 160.

For example, as shown in the upper part of the paper surface of FIG. 8, when the display unit of the number of characters is “2 minutes” in the display scale of “20 minutes” and the display scale is changed to “5 minutes”, the control unit 132 Controls to change the graph to a display scale of "5 minutes" as shown in the lower part of the paper surface of FIG. In this way, the control unit 132 may control the change of the time scale of the display range for the graph showing the number of characters.

By the way, as shown in FIG. 8, both “USER1” and “USER2” are uttering during “12:00” to “12:05”. However, it is difficult for two people to speak at the same time, and in reality, there should be a conversation flow in which one speaks and the other responds. As shown in the lower part of the paper of FIG. 8, even if the display scale is simply changed from “20 minutes” to “5 minutes”, it is difficult to grasp the flow of conversation from the graph.

Therefore, as illustrated in FIG. 9, the control unit 132 may perform control of changing the display scale and changing the total unit time of the number of characters, in other words, changing the length of the predetermined time. Fig. 9 shows a display scale of "5 minutes" when the total unit time of the number of characters is "2 minutes" (see the upper part of the page of Fig. 9) and when the total unit time of the number of characters is "30 seconds" (Fig. 9). It should be noted that in FIG. 9, for convenience, a dashed-dotted line indicating a division of the aggregation unit is shown.

In this way, by changing the counting granularity of the number of characters according to the change of the display scale, as shown in the lower part of the paper surface of FIG. 9, a conversation such as “USER1” or “USER2” uttered and which responded to it It becomes easier to understand the flow of and the analysis accuracy of the utterance situation can be improved.

In addition, the control unit 132 may manage an appropriate aggregation unit time in association with each display scale, and switch to the aggregation unit time corresponding to the changed display scale. Alternatively, an operation area in which the total unit time can be changed by the operator may be provided in the display area 150. In other words, the total unit time may be changed independently of the change of the display scale.

FIG. 10 shows an example of the operation area 180 for changing the total unit time displayed in the display area 150A. The operation area 180 is, for example, a button that can switch fixed values such as “30 seconds”, “1 minute”, and “3 minutes”, and an input field that can specify (input) minutes and seconds. May be included. The control unit 132 may change the total unit time according to the operation input received in the operation area 180. The operation area 180 may be pop-up displayed by a predetermined operation such as the mouse cursor 164. Further, the operation area 180 may be provided with a slider capable of intuitively and visually changing the total unit time.

(B) Graph switching control In the display area 150, instead of the graph focusing on one first classification group, a graph aggregated from another viewpoint may be displayed.

(B-1) Graph focusing on second classification group FIG. 11 is a diagram showing an example of a graph focusing on one second classification group. In the example of FIG. 11, the broken lines of the number of characters corresponding to the texts of the utterance contents of “USER1,” “USER11,” and “USER21” belonging to the second classification group “groupX” (see FIG. 2) are solid lines, It is shown in the graph area 160A by a broken line and a one-dot chain line.

In this way, by comparing the utterance amounts of the users belonging to the same second classification group in different first classification groups, it is possible to compare and analyze the degree of understanding of the contents learned in the second classification group for each user. .. Thereby, for example, the teacher can recognize that the utterance amount of “USER21” is smaller than the utterance amounts of “USER1” and “USER11”, and thus the understanding level in the expert activity may be low. It is also possible to refer to the graph focusing on the first classification group to which "USER21" belongs together.

Also in the graph area 160A illustrated in FIG. 11, the above-described text display (see FIG. 4), pop-up display according to the position of the mouse cursor 164 (see FIGS. 5 to 7), change of scale and total unit time (see FIG. 8 and 9) and the like can be controlled.

(B-2) Stacked graph of total utterance amount in the first or second classification group In the above-mentioned graph areas 160 and 160A, a graph showing the utterance amount for each aggregation unit time is displayed, but is not limited to this. Not something. For example, as the graph, a stacked graph (bar graph) indicating a cumulative value of the number of characters corresponding to each voice of a plurality of users may be used.

FIG. 12 is a diagram showing an example of a stacked graph. In the example of FIG. 12, the bar graphs in which the number of characters corresponding to the texts of the respective utterance contents of “USER1,” “USER2,” and “USER3” belonging to the first classification group “groupA” (see FIG. 2) are respectively accumulated, It is shown in the graph area 160B by a solid line, a broken line, and an alternate long and short dash line. The bar graph shown in FIG. 12 corresponds to the total of the utterance amount for each total unit time of the polygonal line shown in FIG. 3 for each user. In FIG. 12, the display scale of the number of characters is changed from the display scale shown in FIG.

As described above, by accumulating and displaying the utterance amount for each user in time series, the total utterance amount for each user can be easily compared and analyzed.

The display of the utterance amount by the stacked graph may be applied when focusing on one second classification group as described with reference to FIG. 11. Also in the graph area 160B illustrated in FIG. 12, the above-described text display (see FIG. 4), pop-up display according to the position of the mouse cursor 164 (see FIGS. 5 to 7), change of scale and total unit time ( 8 and 9) and the like can be controlled.

As described above, the graph generation unit 131 can output various modes of graphs showing the amount of speech of the user. When the control unit 132 receives a request for a classification group to be displayed, a display format (a broken line or a stacked graph) from the operator, the control unit 132 may instruct the graph generation unit 131 to generate a graph according to these requests.

FIG. 13 shows an example of the graph condition designation screen 190 displayed in the display area 150B. The condition designation screen 190 may exemplarily display a display group selection area 192, a display method selection area 194, and a graph output button 196 for instructing the control unit 132 to output a graph under the selected condition. The condition designation screen 190 may be, for example, an initial screen for outputting a graph.

The display group selection area 192 may include a check box of a classification group to be displayed in a graph and a pull-down list for selecting one group from the checked classification groups. The display method selection area 194 may include a check box for selecting the display format of the graph from a polygonal line or a stacked graph.

The control unit 132 may control the generation of the graph by the graph generation unit 131 based on the condition designated on the condition designation screen 190.

Note that at least one of the text area 166 shown in FIG. 4, the operation area 180 shown in FIG. 10, and the condition designation screen 190 shown in FIG. 13 is displayed by operating a menu button on the display area 150 (not shown). It may be displayed on 150.

Further, the control unit 132 may control the change of the display scale in the axial direction of the number of characters (vertical axis direction in the example of FIG. 3 etc.) according to the change of the display scale of the time axis or the display format of the graph. ..

[1-4] Operation Example Next, an operation example of the speech analysis system 1 configured as described above will be described with reference to FIGS. 14 to 16.

[1-4-1] Operation Example of Voice Conversion Unit First, an operation example of the voice conversion unit 12 will be described. As illustrated in FIG. 14, when the function of the voice conversion unit 12 of the computer 10 is activated by the operator in response to the start of the discussion (step A1), the voice acquisition unit 121 causes the speaker unit and the utterance unit. The utterance content is fetched from the sound collector 11 (step A2).

The text conversion unit 122 converts the utterance content of each speaker and each utterance acquired by the voice acquisition unit 121 into text by voice recognition (step A3). Then, the text conversion unit 122 registers the converted text in the utterance database 14 together with information such as date, time, speaker (user) ID, and classification group (step A4). At this time, the text conversion unit 122 may count the number of characters of the converted text and register the counted number of characters in the utterance database 14.

The voice conversion unit 12 takes in the utterance content in speaker units or utterance units until the discussion ends (No in step A5 and step A5), and when the discussion ends (Yes in step A5), the process ends. To do. As described above, the process related to the acquisition of the uttered voice, the conversion of the voice into the text, and the update of the utterance database 14 are performed.

[1-4-2] Operation Example of Graph Output Unit Next, an operation example of the graph output unit 13 will be described. As illustrated in FIG. 15, the graph output unit 13 waits for a graph display request from the operator (step B1, No in step B1).

When the graph display request is received (Yes in step B1), the graph generation unit 131 generates a graph of the designated group based on the utterance database 14 and outputs the graph to the display device 15 (step B2). At this time, the graph generation unit 131 totals the number of characters for each total unit time in the utterance database 14, and generates a polygonal line or a stacked graph for each user. The graph generation unit 131 may collect additional information and set it in the graph area 160.

The graph output unit 13 determines whether or not a graph display change request has been received from the operator (step B3). When the graph display change request is received (Yes in step B3), the control unit 132 controls the graph generation unit 131 to display the graph according to the graph display change request on the display device 15 (step B4). , The process proceeds to step B5. On the other hand, when the graph display change request has not been received (No in step B3), the process proceeds to step B5.

In step B5, the graph output unit 13 determines whether or not a fixed time has elapsed. If the fixed time has not elapsed (No in step B5), the process proceeds to step B3. On the other hand, when the fixed time has elapsed (Yes in step B5), the control unit 132 causes the graph generation unit 131 to update the graph based on the utterance database 14 (step B6), and the process proceeds to step B3.

The graph update in steps B5 and B6 may be realized by periodical page update by the Web browser.

[1-4-3] Operation Example of Change Processing of Total Unit Time Next, an operation example of the graph display change processing in step B4 of FIG. 15 will be described. As illustrated in FIG. 16, the control unit 132 determines whether or not the graph display change request is a request relating to a change in the aggregation unit time (step B11). Note that this request may or may not be accompanied by a display scale change.

In the case of a request to change the aggregation unit time (Yes in step B11), the control unit 132 sets the aggregation unit time corresponding to the display scale or the designated aggregation unit time in the setting information of the aggregation unit time of the graph. (Step B12). When the display scale is changed, the control unit 132 sets the changed display scale in the setting information (step B13). The setting information may be stored in, for example, the memory 10b of FIG. 17 described later.

Then, the control unit 132 controls the graph generation unit 131 to change the display of the graph based on the setting information (step B14), and the graph generation unit 131 updates the graph based on the setting information and performs processing. Ends. As a result, the total unit time is changed with the change of the display scale or independently of the change of the display scale.

On the other hand, if the graph display change request is not a request for changing the aggregation unit time (No in step B11), the control unit 132 determines whether the graph display change request is a process for changing the display scale (step S11). B15). In the case of the process related to the change of the display scale (Yes in step B15), the process proceeds to step B13, and the display scale is changed by the processes of steps B13 and B14.

When the graph display change request is not the process related to the display scale change (No in step B15), the control unit 132 determines whether the graph display change request is a request for switching the graph type (step B16). If the request is for switching the graph type (Yes in step B16), the control unit 132 sets the changed graph type in the setting information (step B17), and the process proceeds to step B14. By the process of step B14, the classification group to be displayed or the graph of the display format or the like is switched.

When the graph display change request is not a request for switching the graph type (No in step B16), the control unit 132 performs control according to the graph display change request (step B18), and the process ends.

[1-5] Computer Hardware Configuration Example Next, a hardware configuration example of the computer 10 described above will be described. As illustrated in FIG. 17, the computer 10 exemplarily includes a CPU (Central Processing Unit) 10a, a memory 10b, a storage unit 10c, an IF (Interface) unit 10d, an I/O (Input/Output) unit 10e, and a reading unit. The section 10f may be provided.

The CPU 10a is an example of a processor or arithmetic processing unit that performs various controls and arithmetic operations. The CPU 10a may be connected to each block in the computer 10 via a bus so that they can communicate with each other. As the processor, instead of the CPU 10a, for example, an integrated circuit such as MPU, DSP, ASIC, or FPGA may be used. Note that MPU is an abbreviation for Micro Processing Unit, DSP is an abbreviation for Digital Signal Processor, ASIC is an abbreviation for Application Specific Integrated Circuit, and FPGA is an abbreviation for Field-Programmable Gate Array.

The memory 10b is an example of hardware that stores information such as various data and programs. Examples of the memory 10b include a volatile memory such as a RAM (Random Access Memory).

The storage unit 10c is an example of hardware that stores information such as various data and programs. Examples of the storage unit 10c include a magnetic disk device such as an HDD (Hard Disk Drive), a semiconductor drive device such as an SSD (Solid State Drive), and various storage devices such as a non-volatile memory. Examples of the non-volatile memory include flash memory, SCM (Storage Class Memory), ROM (Read Only Memory), and the like.

The utterance database 14 shown in FIG. 1 may be realized by, for example, the storage area of the memory 10b or the storage unit 10c.

Further, the storage unit 10c may store a program 10h that realizes all or some of various functions of the computer 10. The CPU 10a can realize the functions as the voice conversion unit 12 and the graph output unit 13 of the computer 10 illustrated in FIG. 1 by expanding the program 10h stored in the storage unit 10c in the memory 10b and executing the program 10h.

The IF unit 10d is an example of a communication interface that performs connection with the network 20, control of communication, and the like. For example, the IF unit 10d may be an adapter based on LAN, Infiniband, optical communication (for example, FC (Fibre Channel)), or the like. The program 10h may be downloaded from the network 20 or the like to the computer 10 via the IF unit 10d and stored in the storage unit 10c.

Further, the IF unit 10d may include an adapter to which the sound collector 11 is connected, for example, a phone terminal for inputting an acoustic signal, a USB (Universal Serial Bus), an adapter compliant with Bluetooth (registered trademark), or the like.

The I/O unit 10e may include one or both of an input unit such as a mouse, a keyboard, or an operation button, and an output unit such as a display, a projector, or a printer. The display device 15 shown in FIG. 1 is an example of an output unit of the I/O unit 10e.

The reading unit 10f is an example of a reader that reads data or program information recorded on the recording medium 10g. The reading unit 10f may include a connection terminal or device to which the recording medium 10g can be connected or inserted. Examples of the reading unit 10f include a USB-compliant adapter, a drive device for accessing a recording disk, and a card reader for accessing a flash memory such as an SD card. The program 10h may be stored in the recording medium 10g, or the reading unit 10f may read the program 10h from the recording medium 10g and store the program 10h in the storage unit 10c.

Examples of the recording medium 10g include a non-transitory recording medium such as a magnetic/optical disk and a flash memory. Examples of the magnetic/optical disc include a flexible disc, a CD (Compact Disc), a DVD (Digital Versatile Disc), a Blu-ray disc, and an HVD (Holographic Versatile Disc). Examples of the flash memory include a USB memory and an SD card. Examples of the CD include CD-ROM, CD-R, and CD-RW. Examples of DVD include DVD-ROM, DVD-RAM, DVD-R, DVD-RW, DVD+R, DVD+RW, and the like.

The hardware configuration of the computer 10 described above is an example. Therefore, increase/decrease of hardware (for example, addition or deletion of an arbitrary block) in the computer 10, division, integration in an arbitrary combination, or addition or deletion of a bus may be appropriately performed.

[2] Others The technique according to the above-described embodiment can be modified and changed as follows.

For example, the respective functional blocks of the computer 10 shown in FIG. 1 may be combined in any combination or may be divided.

The CPU 10a of the computer is not limited to the single processor or the single core processor, and may be a multiprocessor or a multicore processor.

Further, the functions of the computer 10 may be distributed or redundantly arranged in a plurality of computers via the network 20 or another network such as the Internet, such as a cloud environment.

As an example, the function of the graph output unit 13 of the computer 10 may exist in the cloud server. In this case, the computer 10 may transmit the information of the utterance database 14 to the cloud server and use the graph display function provided by the graph output unit 13 of the cloud server via the Web browser.

As another example, the functions of the graph output unit 13 of the computer 10 and the utterance database 14 may exist in the cloud server. In this case, the computer 10 may send the text data obtained by converting the voice data together with the related information to the cloud server to update the utterance database 14.

In the above-described embodiment, the case where the voice analysis system 1 analyzes one lesson content has been described as an example, but the present invention is not limited to this.

For example, the utterance database 14 may store text data relating to a plurality of lesson contents conducted by one teacher for each of a plurality of classes. Alternatively, the utterance database 14 may store text data related to a plurality of lesson contents conducted by a plurality of teachers for the same or different classes. Also, a plurality of utterance databases 14 may exist in the computer 10.

Then, the graph output unit 13 may output a graph used for analysis of utterance content between a plurality of classes conducted by one teacher for a plurality of classes, based on one or a plurality of utterance databases 14. .. Alternatively, the graph output unit 13 may output a graph used for analyzing the utterance content between a plurality of classes conducted by each of a plurality of teachers. In these graphs, a line or a stacked graph indicating the utterance content may be displayed for each lesson, each first classification group, or each second classification group by the above-described method.

This enables highly accurate comparison of utterance contents between classes, lessons between teachers, and comparison of teaching materials and materials. Further, by comparing, it is possible to review and optimize the teaching materials and materials used in the next lesson, and for example, it is possible to display a list of the optimal teaching materials and materials obtained by analysis. Furthermore, by incorporating a management system for teaching materials and materials into the voice analysis system 1, it is possible to perform centralized management of collaborative learning.

Further, in the embodiment, the case where the voice analysis system 1 is used for collaborative learning has been described as an example, but the present invention is not limited to this.

For example, the voice analysis system 1 may be used for analyzing a meeting or the like in a certain group such as a company, an organization, or an organization. In this case, the operator can analyze the utterance status of the members (meeting participants) in the group, and can use the graph as the analysis result, for example, to judge the understanding level of the members or their motivation for work. ..

[3] Supplementary notes The following supplementary notes will be disclosed regarding the above-described embodiment.

(Appendix 1)
Accept each voice of multiple speakers,
Each voice of the plurality of accepted speakers is converted into text by voice recognition,
Specify the number of characters of the text corresponding to each voice of the plurality of speakers for each predetermined time,
Outputting a graph showing the number of characters corresponding to each voice of the plurality of speakers at the predetermined time intervals,
A speech analysis program characterized by causing a computer to execute processing.

(Appendix 2)
The speech analysis program according to appendix 1, wherein the computer is caused to execute a process of outputting additional information corresponding to each of the plurality of speakers together with the graph showing the number of characters.

(Appendix 3)
The voice analysis program according to Note 2, wherein the additional information is a text corresponding to each voice of the plurality of speakers.

(Appendix 4)
4. The speech analysis program according to any one of appendices 1 to 3, wherein the computer is caused to execute a process of controlling a change of a time scale of a display range with respect to the graph showing the number of characters.

(Appendix 5)
Change the length of the predetermined time,
Specify the number of characters of the text corresponding to each voice of the plurality of speakers for each predetermined time after the change,
Outputting a graph showing the number of characters corresponding to each voice of the plurality of speakers for each predetermined time after the change,
5. The voice analysis program according to any one of appendices 1 to 4, characterized in that the computer is caused to execute processing.

(Appendix 6)
The graph showing the number of characters is a line graph in which the number of characters corresponding to each voice of the plurality of speakers at the predetermined time is plotted on a display range including a time axis and a character number axis. The speech analysis program according to any one of appendices 1 to 5.

(Appendix 7)
Each of the plurality of speakers belongs to any one of the plurality of first classification groups and belongs to any one of the plurality of second classification groups, and each of the plurality of first classification groups includes: Includes speakers belonging to different second classification groups,
7. The voice analysis program according to any one of appendices 1 to 6, wherein the graph showing the number of characters is a graph generated for a plurality of speakers belonging to the same first classification group.

(Appendix 8)
8. The speech analysis according to appendix 7, characterized in that the computer is caused to execute a process of controlling switching the graph showing the number of characters to a graph generated for a plurality of speakers belonging to the same second classification group. program.

(Appendix 9)
The graph showing the number of characters is a bar graph showing a cumulative value of the number of characters corresponding to each voice of the plurality of speakers at the predetermined time on a display range including a time axis and a character number axis. The voice analysis program according to any one of appendices 1 to 5.

(Appendix 10)
A graph showing the number of characters, on a display range including a time axis and a number of characters axis, a line graph plotting the number of characters corresponding to each voice of the plurality of speakers at the predetermined time, and on the display range. Note that the computer is caused to execute a process of controlling to switch between a bar graph showing the cumulative value of the number of characters corresponding to each voice of the plurality of speakers at the predetermined time. 10. The voice analysis program according to any one of items 9 to 9.

(Appendix 11)
A reception unit that receives each voice of a plurality of speakers,
A text-forming unit that converts each voice of the plurality of accepted speakers into text by voice recognition,
A specifying unit that specifies the number of characters of the text corresponding to each voice of the plurality of speakers for each predetermined time,
A voice analysis device, comprising: an output unit that outputs a graph showing the number of characters corresponding to each voice of the plurality of speakers at each predetermined time.

(Appendix 12)
12. The voice analysis device according to appendix 11, wherein the output unit outputs additional information corresponding to each of the plurality of speakers together with the graph showing the number of characters.

(Appendix 13)
13. The voice analysis device according to appendix 12, wherein the additional information is a text corresponding to each voice of the plurality of speakers.

(Appendix 14)
14. The voice analysis device according to any one of appendices 11 to 13, further comprising a control unit that controls a change of a time scale of a display range with respect to the graph showing the number of characters.

(Appendix 15)
The control unit changes the length of the predetermined time,
The specifying unit specifies the number of characters of the text corresponding to each voice of the plurality of speakers for each predetermined time after the change,
The output unit outputs a graph showing the number of characters corresponding to each voice of the plurality of speakers at every predetermined time after the change,
15. The voice analysis device according to any one of appendices 11 to 14, characterized in that.

(Appendix 16)
Each of the plurality of speakers belongs to any one of the plurality of first classification groups and belongs to any one of the plurality of second classification groups, and each of the plurality of first classification groups includes: Includes speakers belonging to different second classification groups,
16. The voice analysis device according to any one of appendices 11 to 15, wherein the graph showing the number of characters is a graph generated for a plurality of speakers belonging to the same first classification group.

(Appendix 17)
17. The voice analysis device according to appendix 16, wherein the control unit performs control to switch the graph indicating the number of characters to a graph generated for a plurality of speakers belonging to the same second classification group.

(Appendix 18)
The control unit, a graph showing the number of characters, on a display range including a time axis and a number of characters axis, a line graph plotting the number of characters corresponding to each voice of the plurality of speakers for each predetermined time, Appendices 11 to 17, characterized in that control is performed on the display range to switch between a bar graph showing the cumulative value of the number of characters corresponding to each voice of the plurality of speakers at the predetermined time intervals. The voice analysis device according to any one of 1.

(Appendix 19)
The processor of the computer accepts each voice of multiple speakers,
The processor converts each voice of the plurality of accepted speakers into text by voice recognition,
The processor identifies the number of characters of the text corresponding to each voice of the plurality of speakers for each predetermined time,
The processor outputs a graph showing the number of characters corresponding to each voice of the plurality of speakers at the predetermined time intervals,
A voice analysis method characterized by the above.

(Appendix 20)
20. The voice analysis method according to appendix 19, wherein the processor outputs additional information corresponding to each of the plurality of speakers together with the graph showing the number of characters.

1 voice analysis system 10 computer 11, 31 sound collection device 12 voice conversion unit 121 voice acquisition unit 122 text conversion unit 13 graph output unit 131 graph generation unit 132 control unit 14 speech database 15 display device 20 network 30 terminal 150, 150A, 150B Display area 160, 160A, 160B Graph area 162 Zoom button 164 Mouse cursor 166 Text area 167, 168, 169 Popup 170 Scale change area 172 Preview area 174 Adjustment section 176 Slider 180 Operation area 190 Condition designation screen 192 Display group selection area 194 Display Method selection area 196 Graph output button

Claims (11)

Accept each voice of multiple speakers,
Each voice of the plurality of accepted speakers is converted into text by voice recognition,
Specify the number of characters of the text corresponding to each voice of the plurality of speakers for each predetermined time,
Outputting a graph showing the number of characters corresponding to each voice of the plurality of speakers at the predetermined time intervals,
Let the computer do the processing ,
Each of the plurality of speakers belongs to any one of the plurality of first classification groups and belongs to any one of the plurality of second classification groups, and each of the plurality of first classification groups includes: Includes speakers belonging to different second classification groups,
The graph showing the number of characters is a graph generated for a plurality of speakers belonging to the same first classification group,
Control is performed to switch the graph showing the number of characters to a graph generated for a plurality of speakers belonging to the same second classification group.
It characterized Rukoto to execute the process to the computer, voice analysis program. The speech analysis program according to claim 1, wherein the computer is caused to execute a process of outputting additional information corresponding to each of the plurality of speakers together with the graph showing the number of characters. The voice analysis program according to claim 2, wherein the additional information is a text corresponding to each voice of the plurality of speakers. The speech analysis program according to any one of claims 1 to 3, wherein the computer is caused to execute a process of controlling a change of a time scale of a display range with respect to the graph showing the number of characters. Change the length of the predetermined time,
Specify the number of characters of the text corresponding to each voice of the plurality of speakers for each predetermined time after the change,
Outputting a graph showing the number of characters corresponding to each voice of the plurality of speakers for each predetermined time after the change,
Characterized in that to execute the process to the computer, any one voice analysis program according to claims 1-4. A graph showing the number of characters, on a display range including a time axis and a number of characters axis, a line graph plotting the number of characters corresponding to each voice of the plurality of speakers at the predetermined time, and on the display range. The computer is caused to execute a process of performing control for switching between a bar graph showing a cumulative value of the number of characters corresponding to each voice of the plurality of speakers at the predetermined time. The voice analysis program according to any one of 1 to 5 . A reception unit that receives each voice of a plurality of speakers,
A text-forming unit that converts each voice of the plurality of accepted speakers into text by voice recognition,
A specifying unit that specifies the number of characters of the text corresponding to each voice of the plurality of speakers for each predetermined time,
An output unit that outputs a graph showing the number of characters corresponding to each voice of the plurality of speakers at each of the predetermined times ,
Each of the plurality of speakers belongs to any one of the plurality of first classification groups and belongs to any one of the plurality of second classification groups, and each of the plurality of first classification groups includes: Includes speakers belonging to different second classification groups,
The graph showing the number of characters is a graph generated for a plurality of speakers belonging to the same first classification group,
The graph showing the number of characters, the control section performs control for switching the graphs generated a plurality of speakers which belong to the same second classification group as a target, characterized by Rukoto includes a voice analyzer. The processor of the computer accepts each voice of multiple speakers,
The processor converts each voice of the plurality of accepted speakers into text by voice recognition,
The processor identifies the number of characters of the text corresponding to each voice of the plurality of speakers for each predetermined time,
The processor outputs a graph showing the number of characters corresponding to each voice of the plurality of speakers at the predetermined time intervals ,
Each of the plurality of speakers belongs to any one of the plurality of first classification groups and belongs to any one of the plurality of second classification groups, and each of the plurality of first classification groups includes: Includes speakers belonging to different second classification groups,
The graph showing the number of characters is a graph generated for a plurality of speakers belonging to the same first classification group,
The processor controls to switch the graph showing the number of characters to a graph generated for a plurality of speakers belonging to the same second classification group .
A voice analysis method characterized by the above. Accept each voice of multiple speakers,
Each voice of the plurality of accepted speakers is converted into text by voice recognition,
Specify the number of characters of the text corresponding to each voice of the plurality of speakers for each predetermined time,
For each predetermined time, output a graph showing the number of characters corresponding to each voice of the plurality of speakers,
A graph showing the number of characters, on a display range including a time axis and a number of characters axis, a line graph plotting the number of characters corresponding to each voice of the plurality of speakers at the predetermined time, and on the display range. , A bar graph showing a cumulative value of the number of characters corresponding to each voice of the plurality of speakers for each predetermined time, and switching control is performed.
A speech analysis program characterized by causing a computer to execute processing. A reception unit that receives each voice of a plurality of speakers,
A text-forming unit for converting the received voices of the plurality of speakers into text by voice recognition,
A specifying unit that specifies the number of characters of the text corresponding to each voice of the plurality of speakers for each predetermined time,
An output unit that outputs a graph showing the number of characters corresponding to each voice of the plurality of speakers at the predetermined time intervals,
A graph showing the number of characters, on a display range including a time axis and a number of characters axis, a line graph plotting the number of characters corresponding to each voice of the plurality of speakers at the predetermined time, and on the display range. , A bar graph showing a cumulative value of the number of characters corresponding to each voice of the plurality of speakers at the predetermined time, and a control unit for performing control for switching between the bar graph.
A voice analysis device characterized by the above. The computer's processor accepts each voice from multiple speakers,
The processor converts each voice of the plurality of accepted speakers into text by voice recognition,
The processor identifies the number of characters of the text corresponding to each voice of the plurality of speakers for each predetermined time,
The processor outputs a graph showing the number of characters corresponding to each voice of the plurality of speakers at the predetermined time intervals,
The processor, a graph showing the number of characters, a line graph in which the number of characters corresponding to each voice of the plurality of speakers at the predetermined time is plotted on a display range including a time axis and a number of characters axis, On the display range, control is performed to switch between a bar graph showing the cumulative value of the number of characters corresponding to each voice of the plurality of speakers for each predetermined time,
A voice analysis method characterized by the above.

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