CN113204684A - Intelligent question-answer interaction robot - Google Patents

Intelligent question-answer interaction robot Download PDF

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Publication number
CN113204684A
CN113204684A CN202110309815.8A CN202110309815A CN113204684A CN 113204684 A CN113204684 A CN 113204684A CN 202110309815 A CN202110309815 A CN 202110309815A CN 113204684 A CN113204684 A CN 113204684A
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China
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information
question
voice
data
response
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于溪文
马振中
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Xiamen Suyan Technology Co ltd
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Xiamen Suyan Technology Co ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/903—Querying
    • G06F16/9032—Query formulation
    • G06F16/90332—Natural language query formulation or dialogue systems
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00—Speech recognition
    • G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00—Speech recognition
    • G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
    • G10L2015/223—Execution procedure of a spoken command
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00—Speech recognition
    • G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
    • G10L2015/225—Feedback of the input speech

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  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Databases & Information Systems (AREA)
  • Data Mining & Analysis (AREA)
  • Software Systems (AREA)
  • Computational Linguistics (AREA)
  • Artificial Intelligence (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • Health & Medical Sciences (AREA)
  • Human Computer Interaction (AREA)
  • Multimedia (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Evolutionary Computation (AREA)
  • Medical Informatics (AREA)
  • Acoustics & Sound (AREA)
  • Computing Systems (AREA)
  • Electrically Operated Instructional Devices (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

The invention provides an intelligent question-answering interaction robot, relating to the technical field of intelligent robots, and comprising: a signal receiver configured to receive a signal of text, voice, picture, video, or the like; a voice recognizer configured to convert a received input voice signal into text information, and provide information such as response text, picture, video, etc. corresponding to the input text information; a voice synthesizer configured to convert the responded text information into a voice output signal; a signal outputter configured to output text, picture, video and voice output signals. And the data statistical analyzer is configured to perform multi-dimensional cross statistical analysis on the collected information data and control data dynamics in real time.

Description

Intelligent question-answer interaction robot
Technical Field
The invention relates to the technical field of intelligent robots, in particular to an intelligent question-answering interaction robot.
Background
At present, in public places (malls, supermarkets, amusement parks, exhibition halls, conference centers and the like), autonomous learning scenes (learning, examinations and the like) and market research and study scenes, due to the reasons of slow manual work efficiency, limited knowledge, complex inquiry flow, various conditions and the like, some common inquiries, data collection or learning tests cannot be timely and accurately responded, the operation is complex, bad impression is brought to users, and the efficiency is influenced.
With the rapid development of scientific technology, intelligent robots can participate in various industries in people's lives more and more, so that the tedious and complicated repeated labor is reduced, the work and study efficiency is improved, and great convenience is brought to the lives.
Therefore, an intelligent robot which can be used anytime and anywhere and can be called and arrived at anytime and anywhere and has certain logic control thinking is needed.
Disclosure of Invention
In order to solve the technical problems, the invention aims to provide an intelligent question-answering interaction robot, which improves the working and learning efficiency and reduces the cost. The invention adopts the following specific technical scheme:
an intelligent question-answering interaction robot, comprising:
a signal receiver configured to receive text, voice, picture, video input signals;
a voice recognizer configured to convert a received input voice signal into text information, and provide information such as response text, picture, video, etc. corresponding to the input text information;
a question-answer knowledge base configured to provide answer information corresponding to the input information based on the input information;
a voice synthesizer configured to convert the responded text information into a voice output signal;
a signal outputter configured to output text, picture, video and voice output signals;
and the data statistical analyzer is configured to perform multi-dimensional cross statistical analysis on the collected information data and control data dynamics in real time.
Preferably, the questionnaire knowledge base comprises:
the memory is configured to store text, pictures, videos and voice information comprising question and answer knowledge base preset interactive questions, related response logic commands and text, pictures, videos and voice information of historical interaction and response data;
the command logic control center is configured to input a logic control command to the command logic control center based on a specific application scene and related problems, and establish a control association to generate a query-response command logic control center;
a response generating device configured to input the query information to the command logic control center to generate response information corresponding to the information.
Preferably, the command logic control center is further configured to: and establishing a big data model of user behaviors and scenes through multiple times of application scene simulation and user behavior habit market research, and respectively generating logic control commands aiming at different application scenes based on the model so as to obtain a semantic vector of inquiry-response.
Preferably, the question-answer knowledge base further comprises a plurality of question type designs, including single-item selection, multi-item selection, open questions and voice questions, and is suitable for intelligent response of a question-answer scene; the command logic control center judges whether the answer of the user is correct according to different question type characteristics and gives a response.
Preferably, the command logic control center realizes logic jumping, hiding, displaying, key word identification and logic control among a plurality of questions in a learning question-answering scene.
Preferably, the question-answer knowledge base further comprises a plurality of sets of customized knowledge application models, and response time intervals are customized.
Preferably, the signal receiver is based on a microphone and a camera of a calling mobile phone, a Pad and computer equipment, and can smoothly receive voice and video information without blocking and send the voice and video information to the command logic control center; the speech recognizer can support recognition of multiple languages and Chinese dialects and can support establishment of personalized entry models and high-frequency entry models aiming at different application scenes; the voice synthesizer can support and configure various scenes, tone colors, speech speed and tone parameters.
Preferably, the signal output device is based on a mobile phone, a Pad and computer equipment, and sends response information returned by the command logic control center to the equipment of the user in a seamless mode to realize a response mode.
Preferably, the data statistical analyzer performs real-time data statistical analysis based on queried and responded historical data, and the system can perform multi-dimensional analysis on data from the aspects of time, region and source, perform data cross statistics, check a chart in real time, control data dynamics in real time and adjust the setting of a command logic control center.
Preferably, the data statistics analyzer provides a real-time raw data downloading function for queried and responded historical data, supports the formats of EXCEL and SPSS, and can automatically generate data reports and charts in the formats of Word and PPT.
Drawings
FIG. 1 is a block diagram of a configuration framework for an intelligent question-answering robot in accordance with the present invention.
Fig. 2 is a block diagram of the configuration of the question-answering knowledge base of the intelligent question-answering robot of the present invention.
FIG. 3 is a flow chart of the intelligent question-answering interaction of the intelligent question-answering robot of the present invention.
FIG. 4 is a schematic diagram of the intelligent question-answering interaction of the intelligent question-answering robot of the present invention.
Fig. 5 is a block diagram of a command logic controller of the intelligent question-answering robot according to the present invention.
Detailed Description
To further illustrate the various embodiments, the invention provides the accompanying drawings. The accompanying drawings, which are incorporated in and constitute a part of this disclosure, illustrate embodiments of the invention and, together with the description, serve to explain the principles of the embodiments. Those skilled in the art will appreciate still other possible embodiments and advantages of the present invention with reference to these figures. Elements in the figures are not drawn to scale and like reference numerals are generally used to indicate like elements.
The invention will now be further described with reference to the accompanying drawings and detailed description.
As shown in fig. 1, the intelligent interactive robot of the present embodiment includes: 101 signal receiver, 102 speech recognizer, 103 question-answer knowledge base, 104 speech synthesizer, 105 signal output device and central controller 106. Wherein the content of the first and second substances,
101 the signal receiver can receive text, voice, picture and video signals sent by a user. Based on the calling of the microphone and the camera of the equipment such as the mobile phone, the Pad and the computer, the voice and the video information can be smoothly received without blocking and sent to the logic command control center. The accuracy is up to 96%.
The speech recognizer 102 may convert the speech signal received by the signal receiver 101 into text information. And the data is transmitted to a logic command control center for recognition and analysis. This is equivalent to fitting the device with the human "ear" so that the machine can "understand" human language. At present, the recognition accuracy of the popular terms of the speech recognizer 102 is up to 96%, and the language supports multiple languages such as Chinese, English and the like. Meanwhile, it supports many dialects in China, such as Sichuan language, Guangdong language, etc. The result response speed is fast, the accuracy is high, and multiple concurrent scenes are supported. The information communication becomes efficient and smooth. In example implementation, the speech recognizer 102 may further establish a personalized hot and high-frequency entry model, adjust recognition parameters, optimize a recognition result, continuously improve machine learning ability in a certain field, and improve recognition accuracy.
The knowledge base of questions and answers 103 may provide response information corresponding to the text based on the text transmitted from the signal receiver 101 or the text information converted by the speech recognizer 102, through a logical judgment of the command control center. The question-answer knowledge base is provided with a plurality of sets of perfect application scene knowledge bases, and meanwhile, the question-answer knowledge base can be customized, and the content of the knowledge base is continuously increased and improved. The diversity and the accuracy of the response are improved. The question-answer knowledge base 103 not only contains preset text, picture, video and other information, but also contains various question-answer types, such as single-choice questions, multiple-choice questions, text open questions, voice answering and the like, and is suitable for scenes such as autonomous learning, examinations, market research and the like. The logic control center gives a response according to the preset logic.
The speech synthesizer 104 may convert the responded text information into an output speech signal and send it to the signal outputter 105. The speech synthesizer 104 can convert the text information in the question-answer knowledge base into speech information, so that the robot can "speak" to increase the convenience of interaction.
The signal output device 105 seamlessly sends the response information returned by the logic command control center to the user equipment based on calling the screens of the mobile phone, the Pad and the computer equipment, so as to realize a response mode. And the user common equipment is used as response output display, so that the use convenience is greatly improved.
The central controller 106 is deployed in a cloud-side high-performance server cluster, and a user can access the cloud-side high-performance server cluster in real time through common equipment to support high concurrency and large data transmission. The smooth and fast transmission of voice, video and pictures is ensured.
FIG. 2 shows a block diagram of a configuration of a knowledge-base of questions and answers in accordance with an example of the present disclosure. The knowledge base of questions and answers 103 includes: memory 201, command logic control center 202, and response generation device 203.
The memory 201 can store text, pictures, video and voice information of preset interactive questions including a question-answer knowledge base; the associated reply logic command; text, picture, video, voice and other information of historical interaction and response data. The data are permanently stored in the cloud server, and can be read and called in real time.
The command logic control center 202 establishes a big data model of user behaviors and scenes through multiple times of application scene simulation and user behavior habit market research, and respectively generates logic control commands for different application scenes based on the model to obtain a semantic vector of inquiry-response. And can perform real-time data analysis on the real-time data stored in the memory 201, generate a data application report containing data and graphs, and monitor the real-time dynamic data.
The response generating device 203 inputs the text information sent by the user or the text information converted from the voice information into the command logic control center, generates corresponding response information according to the preset command logic, and outputs the response information to the response device.
The knowledge base of question and answer also includes a plurality of sets of customized knowledge application models, and the response time interval can be customized.
FIG. 3 shows a flow chart of intelligent question-answering interaction in an embodiment of the present disclosure. Referring to the legend, text, voice information is received at step S1. A determination is made at S2 as to whether it is voice information. If the information is voice information, the voice is recognized at S3 and converted into text information. Based on the final text information, corresponding response text, picture and video information is inquired out at S4. The response information is then output at S5.
FIG. 4 illustrates the principle of intelligent question-answering system intelligent question-answering interaction. At 401, a big data model of user behavior and scene is established by multiple application scene simulation and user behavior habit market research, and logic control commands are respectively generated for different application scenes based on the model. At 402, corresponding response information is queried based on the input information.
Fig. 5 shows the configuration of the command logic control center 202. At 501, a number of logical control commands are stored for analyzing and determining input information. From the different scenarios and questions, corresponding question or answer types are computed at 502, including multiple answer types: plain text, pictures, video, single selection, multiple selection, open questions, and the like. The output of 502 is ultimately output to the user at 503.
While the invention has been particularly shown and described with reference to a preferred embodiment, it will be understood by those skilled in the art that various changes in form and detail may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.

Claims (10)

1. An intelligent question-answering interaction robot, comprising:
a signal receiver configured to receive text, voice, picture, video input signals;
a voice recognizer configured to convert a received input voice signal into text information, and provide information such as response text, picture, video, etc. corresponding to the input text information;
a question-answer knowledge base configured to provide answer information corresponding to the input information based on the input information;
a voice synthesizer configured to convert the responded text information into a voice output signal;
a signal outputter configured to output text, picture, video and voice output signals;
and the data statistical analyzer is configured to perform multi-dimensional cross statistical analysis on the collected information data and control data dynamics in real time.
2. The intelligent question-answering interaction robot of claim 1, wherein the questionnaire knowledge base comprises:
the memory is configured to store text, pictures, videos and voice information comprising question and answer knowledge base preset interactive questions, related response logic commands and text, pictures, videos and voice information of historical interaction and response data;
the command logic control center is configured to input a logic control command to the command logic control center based on a specific application scene and related problems, and establish a control association to generate a query-response command logic control center;
a response generating device configured to input the query information to the command logic control center to generate response information corresponding to the information.
3. The intelligent question-answering interaction robot of claim 2, wherein the command logic control center is further configured to: and establishing a big data model of user behaviors and scenes through multiple times of application scene simulation and user behavior habit market research, and respectively generating logic control commands aiming at different application scenes based on the model so as to obtain a semantic vector of inquiry-response.
4. The intelligent question-answering interaction robot as claimed in claim 2, wherein the question-answering knowledge base further comprises a plurality of question-type designs including single-item selection, multiple-item selection, open questions, voice questions, intelligent response adapted to a question-answering scene; the command logic control center judges whether the answer of the user is correct according to different question type characteristics and gives a response.
5. The intelligent question-answering interaction robot as claimed in claim 2, wherein the command logic control center implements logic question jumping, hiding, displaying and keyword recognition and logic control among a plurality of questions in a learning question-answering scene.
6. The intelligent question-answering interaction robot as claimed in claim 1, wherein the question-answering knowledge base further comprises a plurality of sets of customized knowledge application models, and the response time intervals are customized.
7. The intelligent question-answering interaction robot as claimed in claim 1, wherein the signal receiver is based on a calling mobile phone, a Pad, a microphone and a camera of a computer device, and can smoothly receive voice and video information without blocking and send the voice and video information to a command logic control center; the speech recognizer can support recognition of multiple languages and Chinese dialects and can support establishment of personalized entry models and high-frequency entry models aiming at different application scenes; the voice synthesizer can support and configure various scenes, tone colors, speech speed and tone parameters.
8. The intelligent question-answering interaction robot as claimed in claim 1, wherein the signal output device is based on a mobile phone, a Pad and a computer device, and seamlessly sends response information returned by a command logic control center to a user device to realize a response mode.
9. The intelligent question-answering interaction robot as claimed in claim 1, wherein the data statistical analyzer is used for performing real-time data statistical analysis based on queried and responded historical data, and the system can perform multidimensional analysis on data from the aspects of time, region and source, and cross statistics of data, view charts in real time, control data dynamics in real time and adjust the settings of a command logic control center.
10. The intelligent question-answering interaction robot according to claim 9, wherein the data statistics analyzer provides a real-time raw data downloading function for the queried and responded historical data, supports EXCEL and SPSS formats, and can automatically generate Word and PPT format data reports and charts.
CN202110309815.8A 2021-03-23 2021-03-23 Intelligent question-answer interaction robot Pending CN113204684A (en)

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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106487574A (en) * 2016-04-01 2017-03-08 国家计算机网络与信息安全管理中心 Automatic operating safeguards monitoring system
CN110019683A (en) * 2017-12-29 2019-07-16 同方威视技术股份有限公司 Intelligent sound interaction robot and its voice interactive method
CN111324602A (en) * 2020-02-21 2020-06-23 上海软中信息技术有限公司 Method for realizing financial big data oriented analysis visualization
CN111460125A (en) * 2020-05-09 2020-07-28 山东舜网传媒股份有限公司 Intelligent question and answer method and system for government affair service
CN111985716A (en) * 2020-08-21 2020-11-24 北京交通大学 Passenger traffic prediction system with visualized passenger traffic information

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106487574A (en) * 2016-04-01 2017-03-08 国家计算机网络与信息安全管理中心 Automatic operating safeguards monitoring system
CN110019683A (en) * 2017-12-29 2019-07-16 同方威视技术股份有限公司 Intelligent sound interaction robot and its voice interactive method
CN111324602A (en) * 2020-02-21 2020-06-23 上海软中信息技术有限公司 Method for realizing financial big data oriented analysis visualization
CN111460125A (en) * 2020-05-09 2020-07-28 山东舜网传媒股份有限公司 Intelligent question and answer method and system for government affair service
CN111985716A (en) * 2020-08-21 2020-11-24 北京交通大学 Passenger traffic prediction system with visualized passenger traffic information

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