CN113938337A - System and method for automatically tracking summary and task of conference - Google Patents
System and method for automatically tracking summary and task of conference Download PDFInfo
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- CN113938337A CN113938337A CN202111367347.6A CN202111367347A CN113938337A CN 113938337 A CN113938337 A CN 113938337A CN 202111367347 A CN202111367347 A CN 202111367347A CN 113938337 A CN113938337 A CN 113938337A
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- 238000000034 method Methods 0.000 title claims abstract description 25
- 230000009471 action Effects 0.000 claims abstract description 22
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- 230000036651 mood Effects 0.000 claims description 3
- 238000000605 extraction Methods 0.000 claims description 2
- 230000003542 behavioural effect Effects 0.000 claims 1
- 238000005516 engineering process Methods 0.000 abstract description 12
- 230000006399 behavior Effects 0.000 description 20
- 238000013461 design Methods 0.000 description 11
- 230000008909 emotion recognition Effects 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 238000004590 computer program Methods 0.000 description 2
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- 230000008451 emotion Effects 0.000 description 2
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/02—Details
- H04L12/16—Arrangements for providing special services to substations
- H04L12/18—Arrangements for providing special services to substations for broadcast or conference, e.g. multicast
- H04L12/1813—Arrangements for providing special services to substations for broadcast or conference, e.g. multicast for computer conferences, e.g. chat rooms
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/02—Details
- H04L12/16—Arrangements for providing special services to substations
- H04L12/18—Arrangements for providing special services to substations for broadcast or conference, e.g. multicast
- H04L12/1813—Arrangements for providing special services to substations for broadcast or conference, e.g. multicast for computer conferences, e.g. chat rooms
- H04L12/1831—Tracking arrangements for later retrieval, e.g. recording contents, participants activities or behavior, network status
Abstract
The invention discloses an automatic conference summary and task tracking system, which comprises a client, a video conference module and an intelligent virtual robot, wherein the client is connected with the video conference module through a network; the client is used for the participants to access the video conference module through the unique ID; the video conference module is used for providing a virtual conference place and collecting the information of participants; the intelligent virtual robot collects meeting information in real time, identifies each participant, makes a meeting summary in the meeting process and outputs a meeting action item according to the content. The invention realizes the tracking of the tasks related to the automatic meeting summary and the action items based on the technologies of natural language understanding, analysis, reasoning, decision making, multi-mode analysis and the like, and reduces the labor cost.
Description
Technical Field
The invention relates to the technical field of conference summary, in particular to a system and a method for automatically tracking conference summary and tasks.
Background
An office cooperation mode which is not limited by places becomes a trend, online meetings are more and more emphasized, the method is an important method and way for cloud office of many enterprises, and automatic meeting president and task tracking are realized to become a possible trend along with popularization of the cloud office and the online meetings; meanwhile, the relative maturity of technologies such as voice recognition, voiceprint recognition, face recognition, emotion recognition, semantic understanding, multi-modal analysis, conversation behavior analysis and the like provides basic technology accumulation for intelligent decision making, intelligent reasoning and scene analysis.
In view of the above, the inventor has developed a system and method for automatic meeting summary and task tracking.
Disclosure of Invention
In view of the problems in the related art, the present invention provides a system and method for automatic meeting summary and task tracking, so as to overcome the above technical problems in the related art.
Therefore, the invention adopts the following specific technical scheme:
a system for automatically tracking a meeting summary and a task comprises a client, a video meeting module and an intelligent virtual robot;
the client is used for the participants to access the video conference module through the unique ID;
the video conference module is used for providing a virtual conference place and collecting the information of participants;
the intelligent virtual robot collects meeting information in real time, identifies each participant, makes a meeting summary in the meeting process and outputs a meeting action item according to the content.
In one possible design, the participant information includes participant identity information, and participant behavior information.
In one possible design, the participant behavior information includes speech content, mood, and expressions.
In one possible design, the intelligent virtual robot comprises a voice recognition module, a voiceprint recognition module, a face recognition model, a semantic understanding module, a behavior analysis module, an inference analysis module and a decision module;
the voice recognition module is used for recognizing the speaking content of the participants and converting the speaking content into text and tone;
a voiceprint recognition module for recognizing specific participants based on voiceprints;
the face recognition module is used for recognizing specific participants based on the face of the person;
the semantic understanding module is used for carrying out recognition analysis based on the text information;
a behavior analysis module for analyzing the behavior of the user,
the reasoning analysis module is used for performing multi-mode fusion analysis and behavior analysis and deducing results based on the information of the participants;
and the decision module judges and outputs a conclusion.
The invention also discloses a method for automatically tracking the summary and the task of the conference, which comprises the following steps of S100, initializing and establishing a conference room, and accessing a client to a video conference module; step S200, the intelligent virtual robot enters a conference state, retrieves action items of the last conference, communicates with corresponding responsible persons according to each action item, and checks and records task completion records; and S300, identifying and distinguishing each participant and collecting the information of the participants by the intelligent virtual robot, and S400, analyzing the information data of each participant by the intelligent virtual robot, extracting the information, and outputting the summary and action items of the whole conference by combining the context of multiple persons.
In a possible design, in step S300, a virtual meeting room is set, the same virtual meeting room is used for the same series of meetings, and a meeting series can be set at the same time, and the meeting summary and the action item of the last meeting of the same series of the same virtual meeting room are retrieved first to trigger task tracking when a meeting is started.
In a possible design, the dimensions of the information extraction in step S400 include language information, extralingual behavior, expression behavior, information amount, knowledge plane, coherence, information contact ratio, intonation, expression, and the like.
In one possible design, the context of the multi-person context in step S400 includes context, information correspondence, speaking time, co-occurrence of the interviewer information, personal contribution, interaction with other participants, and the like.
In one possible design, in step S300, the intelligent virtual robot distinguishes each participant by superimposing face recognition and voiceprint recognition on each person' S access ID.
Compared with the prior art, the invention has the beneficial effects that:
1. based on technologies such as natural language understanding, analysis, reasoning, decision making, multi-modal analysis and the like, tracking of tasks related to the automatic conference summary and the action items is achieved, and labor cost is reduced.
2. The invention abandons the role of human factors or personal preference in selecting people, and realizes the high efficiency, standardization, automation and specialization of the online conference by utilizing the voice recognition, the voiceprint recognition, the face recognition, the emotion recognition, the natural language understanding, the information analysis reasoning technology and the multi-mode analysis technology.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is an architecture diagram of a system for automatic conference summary and task tracking according to an embodiment of the present application;
fig. 2 is an architecture diagram illustrating an automatic conference summary and task tracking method according to an embodiment of the present application.
Detailed Description
For further explanation of the various embodiments, the drawings which form a part of the disclosure and which are incorporated in and constitute a part of this specification, illustrate embodiments and, together with the description, serve to explain the principles of operation of the embodiments, and to enable others of ordinary skill in the art to understand the various embodiments and advantages of the invention, and, by reference to these figures, reference is made to the accompanying drawings, which are not to scale and wherein like reference numerals generally refer to like elements.
As shown in fig. 1, the embodiment discloses an automatic conference summary and task tracking system, which includes a client, a video conference module, and an intelligent virtual robot;
the client is used for the participants to access the video conference module through the unique ID;
the video conference module is used for providing a virtual conference place and collecting the information of participants;
the intelligent virtual robot collects meeting information in real time, identifies each participant, makes a meeting summary in the meeting process and outputs a meeting action item according to the content.
In one possible design, the participant information includes participant identity information, and participant behavior information.
In one possible design, the participant behavior information includes speech content, mood, and expressions.
In one possible design, the intelligent virtual robot comprises a voice recognition module, a voiceprint recognition module, a face recognition model, a semantic understanding module, a behavior analysis module, an inference analysis module and a decision module;
the voice recognition module is used for recognizing the speaking content of the participants and converting the speaking content into text and tone;
a voiceprint recognition module for recognizing specific participants based on voiceprints;
the face recognition module is used for recognizing specific participants based on the face of the person;
the semantic understanding module is used for carrying out recognition analysis based on the text information;
a behavior analysis module for analyzing the behavior of the user,
the reasoning analysis module is used for performing multi-mode fusion analysis and behavior analysis and deducing results based on the information of the participants;
and the decision module judges and outputs a conclusion.
Online conferences typically have a host who hosts the conference, controlling the conference rhythm and content.
There are also more general participants in the conference who speak or speak freely according to the requirements of the moderator. And a recorder is responsible for recording relevant information, and the meeting ending is organized into meeting summary and action items and output. Some meetings, such as project meetings, may also track tasks or actions of the last meeting before the meeting begins. The invention relates to a method for realizing automatic meeting summary and task tracking, which abandons the role of human factors or personal preference in selecting people and realizes the high efficiency, standardization, automation and specialization of online meetings by utilizing voice recognition, voiceprint recognition, face recognition, emotion recognition, natural language understanding, information analysis reasoning technology and multi-mode analysis technology.
The automatic conference summary and task tracking system is based on an online video conference, and an intelligent virtual robot which is specially used for initializing the system, tracking tasks, collecting information of participants, collecting behaviors and information of the participants, recording, analyzing, reasoning and deciding and summarizing and organizing the summary and action items of the conference on the whole conference is added into the video conference, and the robot is based on technologies such as natural language understanding, voice recognition, voiceprint recognition, multi-modal analysis, semantic understanding, knowledge reasoning and the like. The robot can have the role of part of host and the role of conference recorder, collects the conference information in real time, identifies each participant according to voiceprint and face, makes conference summary according to the speaking content, tone, expression and the like of the participant in the conference process, and outputs the conference action item according to the content. The conference participants can share one access terminal by a plurality of persons or one access terminal. Each access terminal needs to access the system by a unique ID.
The specific working process is as follows:
as shown in fig. 2, the video conference system first initiates the establishment of a conference room, after which the client can normally enter the system.
All clients enter the system in a dial-up manner. When all the clients enter the system and the equipment detection is finished and normal, the robot can start and enter a conference state.
The robot system entering the conference state searches the action items of the previous conference according to the prompt of the host, communicates with the corresponding responsible person according to each action item, checks the task completion record and makes the record. And then entering into a formal meeting stage. In order to trigger retrieval, a virtual meeting room can be set, the same virtual meeting room is used for the same series of meetings, a meeting series can be set at the same time, and the meeting summary and action items of the last meeting of the same series of the same virtual meeting room can be retrieved first to trigger task tracking when a meeting is started each time.
The robot distinguishes each participant through the access ID superposition face recognition and voiceprint recognition of each person, the information of each participant is expressed through voice and images, the voice can be translated into text and tone, the images can be translated into corresponding emotion and behavior, the emotion and behavior are all time sequence data, and the voice and the images can be aligned according to time sequence through the information alignment technology to generate three kinds of information: text, speech (pitch, prosody), images (expression, facial language, body language).
The robot needs to obtain training data through multiple times of simulation to train the inference model, the intermediate state and the final state output by manual marking can be firstly carried out, the training data are continuously collected in a real meeting scene, and the model is trained and optimized on line, so that the decision inference level is improved.
Because the online video conference is adopted, the robot firstly needs to analyze the information data of each person and extract the information according to the information data of each person and a certain rule, and the dimensionality comprises language information, extraspeech behaviors, expression behaviors, information quantity, knowledge plane, coherence, information contact degree, tone, expression and the like; and then, a plurality of people context is combined, including context degree, information corresponding degree, speaking time, co-occurrence of people and participants information, individual contribution degree, interaction conditions with other participants and the like, to be summarized and summarized. Finally, the summary and action items of the whole conference are output.
While, for purposes of simplicity of explanation, the methodologies are shown and described as a series of acts, it is to be understood and appreciated that the methodologies are not limited by the order of acts, as some acts may, in accordance with one or more embodiments, occur in different orders and/or concurrently with other acts from that shown and described herein or not shown and described herein, as would be understood by one skilled in the art. Those of skill would further appreciate that the various illustrative logical blocks, modules, circuits, and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both. To clearly illustrate this interchangeability of hardware and software, various illustrative components, blocks, modules, circuits, and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the overall system. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention. The various illustrative logical blocks, modules, and circuits described in connection with the embodiments disclosed herein may be implemented or performed with a general purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination thereof designed to perform the functions described herein. A general purpose processor may be a microprocessor, but in the alternative, the processor may be any conventional processor, controller, microcontroller, or state machine. A processor may also be implemented as a combination of computing devices, e.g., a combination of a DSP and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a DSP core, or any other such configuration. The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an ASIC. The ASIC may reside in a user terminal. In the alternative, the processor and the storage medium may reside as discrete components in a user terminal. In one or more exemplary embodiments, the functions described may be implemented in hardware, software, firmware, or any combination thereof. If implemented in software as a computer program product, the functions may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a computer. By way of example, and not limitation, such computer-readable media can comprise RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. Any connection is properly termed a computer-readable medium. For example, if the software is transmitted from a web site, server, or other remote source using a coaxial cable, fiber optic cable, twisted pair, Digital Subscriber Line (DSL), or wireless technologies such as infrared, radio, and microwave, then the coaxial cable, fiber optic cable, twisted pair, DSL, or wireless technologies such as infrared, radio, and microwave are included in the definition of medium. Disk (disk) and disc (disc), as used herein, includes Compact Disc (CD), laser disc, optical disc, Digital Versatile Disc (DVD), floppy disk and blu-ray disc where disks (disks) usually reproduce data magnetically, while discs (discs) reproduce data optically with lasers. Combinations of the above should also be included within the scope of computer-readable media.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (9)
1. A system for automatically tracking a meeting summary and a task is characterized by comprising a client, a video meeting module and an intelligent virtual robot;
the client is used for the participants to access the video conference module through the unique ID;
the video conference module is used for providing a virtual conference place and collecting the information of participants;
the intelligent virtual robot collects meeting information in real time, identifies each participant, makes a meeting summary in the meeting process and outputs a meeting action item according to the content.
2. The system of claim 1, wherein the meeting participant information comprises meeting participant identity information, meeting participant behavior information.
3. The system of claim 2, wherein the participant behavioral information includes speech content, mood, and expression.
4. The system and the method for automatic conference summary and task tracking according to any one of claims 1 to 3, characterized in that the intelligent virtual robot comprises a voice recognition module, a voiceprint recognition module, a face recognition model, a semantic understanding module, a behavior analysis module, an inference analysis module, and a decision module;
the voice recognition module is used for recognizing the speaking content of the participants and converting the speaking content into text and tone;
a voiceprint recognition module for recognizing specific participants based on voiceprints;
the face recognition module is used for recognizing specific participants based on the face of the person;
the semantic understanding module is used for carrying out recognition analysis based on the text information;
a behavior analysis module for analyzing the behavior of the user,
the reasoning analysis module is used for performing multi-mode fusion analysis and behavior analysis and deducing results based on the information of the participants;
and the decision module judges and outputs a conclusion.
5. A method for a system for automatic conference summary and task tracking according to claims 1-4, characterized in that it comprises the following steps S100, initializing the conference room, accessing the video conference module by the client; step S200, the intelligent virtual robot enters a conference state, retrieves action items of the last conference, communicates with corresponding responsible persons according to each action item, and checks and records task completion records; and S300, identifying and distinguishing each participant and collecting the information of the participants by the intelligent virtual robot, and S400, analyzing the information data of each participant by the intelligent virtual robot, extracting the information, and outputting the summary and action items of the whole conference by combining the context of multiple persons.
6. The method of claim 5, wherein in step S300, a virtual meeting room is set, the same virtual meeting room is used for the same series of meetings, and a series of meetings can be set, and the meeting summary and action items of the last meeting of the same series of the same virtual meeting room are retrieved to trigger task tracking.
7. The method of claim 5, wherein the dimension of information extraction in step S400 includes language information, extralingual behavior, expression behavior, information amount, knowledge plane, coherence, information contact ratio, intonation, expression, etc.
8. The method of claim 5, wherein the context of the multiple persons in step S400 includes context, information correspondence, speaking time, co-occurrence of interviewer information, personal contribution, interaction with other participants, etc.
9. The method of claim 5, wherein in step S300, the intelligent virtual robot distinguishes each participant by superimposing human face recognition and voiceprint recognition with each person' S access ID.
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