CN111429876A - Disease symptom information acquisition system based on natural voice interaction - Google Patents
Disease symptom information acquisition system based on natural voice interaction Download PDFInfo
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- CN111429876A CN111429876A CN201911299131.3A CN201911299131A CN111429876A CN 111429876 A CN111429876 A CN 111429876A CN 201911299131 A CN201911299131 A CN 201911299131A CN 111429876 A CN111429876 A CN 111429876A
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- 208000024891 symptom Diseases 0.000 title claims abstract description 36
- 201000010099 disease Diseases 0.000 title claims abstract description 30
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 title claims abstract description 30
- 230000003993 interaction Effects 0.000 title claims abstract description 22
- 238000004891 communication Methods 0.000 claims abstract description 36
- 238000000605 extraction Methods 0.000 claims abstract description 15
- 238000006243 chemical reaction Methods 0.000 claims abstract description 11
- 238000012545 processing Methods 0.000 claims abstract description 10
- 230000015572 biosynthetic process Effects 0.000 claims abstract description 8
- 238000003786 synthesis reaction Methods 0.000 claims abstract description 8
- 238000012544 monitoring process Methods 0.000 claims description 9
- 230000035622 drinking Effects 0.000 claims description 3
- 239000000284 extract Substances 0.000 claims description 3
- 230000000391 smoking effect Effects 0.000 claims description 3
- 238000003745 diagnosis Methods 0.000 abstract description 2
- 238000013459 approach Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000000034 method Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
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- 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
- G10L17/00—Speaker identification or verification techniques
- G10L17/02—Preprocessing operations, e.g. segment selection; Pattern representation or modelling, e.g. based on linear discriminant analysis [LDA] or principal components; Feature selection or extraction
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- 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
- G10L13/00—Speech synthesis; Text to speech systems
- G10L13/02—Methods for producing synthetic speech; Speech synthesisers
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- 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
- G10L13/00—Speech synthesis; Text to speech systems
- G10L13/08—Text analysis or generation of parameters for speech synthesis out of text, e.g. grapheme to phoneme translation, prosody generation or stress or intonation determination
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- 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
- G10L15/26—Speech to text systems
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- 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
- G10L15/28—Constructional details of speech recognition systems
- G10L15/30—Distributed recognition, e.g. in client-server systems, for mobile phones or network applications
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- 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
- G10L17/00—Speaker identification or verification techniques
- G10L17/22—Interactive procedures; Man-machine interfaces
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- Audiology, Speech & Language Pathology (AREA)
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- Physics & Mathematics (AREA)
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Abstract
The invention provides a disease symptom information acquisition system based on natural voice interaction, which comprises: the system comprises a client subsystem and a service terminal system, wherein the client subsystem and the service terminal system are integrated and are connected through the Internet to complete mutual communication and data processing; the client subsystem comprises a microphone component, a network communication component B and a loudspeaker component, and the service terminal system comprises a network communication component C, a voice conversion character component, a natural semantic information extraction component, a natural language interaction component and a character synthesis voice component. Under the condition that the user has more doctors and less doctors, by adopting the system, a large amount of time for inquiring and communicating between the doctors and the user can be saved, and the working efficiency of the doctors and the diagnosis efficiency of the user are improved.
Description
Technical Field
The invention relates to the technical field of voice recognition processing, in particular to a disease symptom information acquisition system based on natural voice interaction.
Background
At present, the disease symptom information acquisition mode is generally a process that a doctor communicates with a user through inquiry, and the doctor asks questions and the user answers to record the symptoms and the disease information of the user. This approach has the following drawbacks: 1. different doctors have different experiences, so that incomplete information acquisition is easy to cause; 2. the working efficiency of the doctor is limited and cannot meet the requirements of a large number of users.
Disclosure of Invention
The technical problem to be solved by the present invention is to provide a disease symptom information collecting system based on natural voice interaction, so as to solve the problems proposed in the background art.
The technical problem solved by the invention is realized by adopting the following technical scheme: disease symptom information acquisition system based on natural voice interaction includes: the system comprises a client subsystem and a service terminal system, wherein the client subsystem and the service terminal system are integrated and are connected through the Internet to complete mutual communication and data processing; the client subsystem comprises a microphone component, a network communication component B and a loudspeaker component, the service terminal system comprises a network communication component C, a voice conversion character component, a natural semantic information extraction component, a natural language interaction component and a character synthesis voice component, a user awakens the client subsystem through an awakening language and describes own diseases and symptoms by using the natural language according to voice guidance played by the client subsystem, and the service terminal system completes extraction of the information of the diseases and symptoms described by the user through analysis and processing of voice data streams provided by the client subsystem.
The microphone component of the client subsystem is in a monitoring state by default, a user wakes up the client subsystem through a wake-up word, the client subsystem plays guide voice through the loudspeaker component, and then the microphone component enters the monitoring state; the user describes his disease and symptoms in natural language according to the guidance voice prompt. The client subsystem collects the user voice data stream through the microphone component and submits the user voice data stream to the network communication component B in real time; the network communication component B transmits the voice data stream to a network communication component C of the service terminal system through the Internet, and the client subsystem enters a waiting state; the network communication part C in the service terminal system submits the received voice data stream to the voice conversion character part in real time.
The voice conversion character part converts the natural voice data stream into natural language text information, and then submits the natural language text information to the natural semantic information extraction part in real time.
The natural semantic information extraction component firstly extracts the information related to the user symptoms and diseases based on natural semantic analysis, and the information is as follows: personal information: sex, age; the main complaint information is as follows: symptom name, disease name, time of occurrence of symptom, severity of symptom; life habit information: whether smoking is frequent, whether drinking is frequent, and whether staying up all night; and finally submitting the data to a natural language interaction component.
And the natural language interaction component generates a guide language to be replied to the user according to the current missing information by combining the transmitted extracted information with the context rule of the inquiry. The generated guide language is then submitted to a text-to-speech component.
The character synthesis voice component converts the received text information into a corresponding voice data stream and submits the voice data stream to the network communication component C, and the network communication component C transmits the voice data stream to the client subsystem in real time through the Internet.
And the network communication component B of the client subsystem enters a playing state after receiving the guide voice data stream returned by the service terminal system, plays the received voice data stream to a user for listening through the loudspeaker component, and then the microphone component enters a monitoring state again to acquire the voice of the user again.
Compared with the prior art, the invention has the beneficial effects that: the invention adopts a man-machine natural voice interaction mode, and can more simply and conveniently finish the collection of user symptoms and disease information. Under the condition that the user has more doctors and less doctors, by adopting the system, a large amount of time for inquiring and communicating between the doctors and the user can be saved, and the working efficiency of the doctors and the diagnosis efficiency of the user are improved.
Drawings
FIG. 1 is a schematic diagram of the architecture of the present invention.
Detailed Description
In the description of the present invention, it should be noted that unless otherwise specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly and may be, for example, fixedly connected, detachably connected, or integrally connected, mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements.
As shown in fig. 1, the disease symptom information collecting system based on natural voice interaction includes: the system comprises a client subsystem and a service terminal system, wherein the client subsystem and the service terminal system are integrated and are connected through the Internet to complete mutual communication and data processing; the client subsystem comprises a microphone component, a network communication component B and a loudspeaker component, the service terminal system comprises a network communication component C, a voice conversion character component, a natural semantic information extraction component, a natural language interaction component and a character synthesis voice component, a user awakens the client subsystem through an awakening language and describes own diseases and symptoms by using the natural language according to voice guidance played by the client subsystem, and the service terminal system completes extraction of the information of the diseases and symptoms described by the user through analysis and processing of voice data streams provided by the client subsystem. The microphone component of the client subsystem is in a monitoring state by default, a user wakes up the client subsystem through a wake-up word, the client subsystem plays guide voice through the loudspeaker component, and then the microphone component enters the monitoring state; the user describes his disease and symptoms in natural language according to the guidance voice prompt. The client subsystem collects the user voice data stream through the microphone component and submits the user voice data stream to the network communication component B in real time; the network communication component B transmits the voice data stream to a network communication component C of the service terminal system through the Internet, and the client subsystem enters a waiting state; the network communication part C in the service terminal system submits the received voice data stream to the voice conversion character part in real time. The voice conversion character part converts the natural voice data stream into natural language text information, and then submits the natural language text information to the natural semantic information extraction part in real time.
Example 2
As shown in fig. 1, the disease symptom information collecting system based on natural voice interaction includes: the system comprises a client subsystem and a service terminal system, wherein the client subsystem and the service terminal system are integrated and are connected through the Internet to complete mutual communication and data processing; the client subsystem comprises a microphone component, a network communication component B and a loudspeaker component, the service terminal system comprises a network communication component C, a voice conversion character component, a natural semantic information extraction component, a natural language interaction component and a character synthesis voice component, a user awakens the client subsystem through an awakening language and describes own diseases and symptoms by using the natural language according to voice guidance played by the client subsystem, and the service terminal system completes extraction of the information of the diseases and symptoms described by the user through analysis and processing of voice data streams provided by the client subsystem. The natural semantic information extraction component firstly extracts the information related to the user symptoms and diseases based on natural semantic analysis, and the information is as follows: personal information: sex, age; the main complaint information is as follows: symptom name, disease name, time of occurrence of symptom, severity of symptom; life habit information: whether smoking is frequent, whether drinking is frequent, and whether staying up all night; and finally submitting the data to a natural language interaction component. And the natural language interaction component generates a guide language to be replied to the user according to the current missing information by combining the transmitted extracted information with the context rule of the inquiry. The generated guide language is then submitted to a text-to-speech component. The character synthesis voice component converts the received text information into a corresponding voice data stream and submits the voice data stream to the network communication component C, and the network communication component C transmits the voice data stream to the client subsystem in real time through the Internet. And the network communication component B of the client subsystem enters a playing state after receiving the guide voice data stream returned by the service terminal system, plays the received voice data stream to a user for listening through the loudspeaker component, and then the microphone component enters a monitoring state again to acquire the voice of the user again.
The invention is based on the AI technology, and realizes that the user and the AI system collect the symptoms and the disease related information of the user in a natural language interaction mode. Has the following advantages: 1. the machine has high working efficiency, and can meet the requirements of a large number of users in 24 hours; 2. the machine is unified and standard, and the collected information is comprehensive and accurate; 3. the users are numerous, the machine can reduce the workload of doctors, and social scarce resources are saved.
The foregoing shows and describes the general principles and broad features of the present invention and advantages thereof. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (7)
1. A disease symptom information acquisition system based on natural voice interaction comprises: client subsystem, service terminal system, its characterized in that: the client subsystem and the service terminal system are integrated and are connected through the Internet to complete mutual communication and data processing; the client subsystem comprises a microphone component, a network communication component B and a loudspeaker component, the service terminal system comprises a network communication component C, a voice conversion character component, a natural semantic information extraction component, a natural language interaction component and a character synthesis voice component, a user awakens the client subsystem through an awakening language and describes own diseases and symptoms by using the natural language according to voice guidance played by the client subsystem, and the service terminal system completes extraction of the information of the diseases and symptoms described by the user through analysis and processing of voice data streams provided by the client subsystem.
2. The system according to claim 1, wherein the system comprises: the microphone component of the client subsystem is in a monitoring state by default, a user wakes up the client subsystem through a wake-up word, the client subsystem plays guide voice through the loudspeaker component, and then the microphone component enters the monitoring state; the user describes own diseases and symptoms by natural language according to the prompt of the guide voice; the client subsystem collects the user voice data stream through the microphone component and submits the user voice data stream to the network communication component B in real time; the network communication component B transmits the voice data stream to a network communication component C of the service terminal system through the Internet, and the client subsystem enters a waiting state; the network communication part C in the service terminal system submits the received voice data stream to the voice conversion character part in real time.
3. The system according to claim 1, wherein the system comprises: the voice conversion character part converts the natural voice data stream into natural language text information, and then submits the natural language text information to the natural semantic information extraction part in real time.
4. The system according to claim 1, wherein the system comprises: the natural semantic information extraction component firstly extracts the information related to the user symptoms and diseases based on natural semantic analysis, and the information is as follows: personal information: sex, age; the main complaint information is as follows: symptom name, disease name, time of occurrence of symptom, severity of symptom; life habit information: whether smoking is frequent, whether drinking is frequent, and whether staying up all night; and finally submitting the data to a natural language interaction component.
5. The system according to claim 1, wherein the system comprises: the natural language interaction component generates a guide language to be replied to the user according to the current missing information by combining the transmitted extracted information with the context rule of the inquiry; the generated guide language is then submitted to a text-to-speech component.
6. The system according to claim 1, wherein the system comprises: the character synthesis voice component converts the received text information into a corresponding voice data stream and submits the voice data stream to the network communication component C, and the network communication component C transmits the voice data stream to the client subsystem in real time through the Internet.
7. The system according to claim 1, wherein the system comprises: and the network communication component B of the client subsystem enters a playing state after receiving the guide voice data stream returned by the service terminal system, plays the received voice data stream to a user for listening through the loudspeaker component, and then the microphone component enters a monitoring state again to acquire the voice of the user again.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201911299131.3A CN111429876A (en) | 2019-12-17 | 2019-12-17 | Disease symptom information acquisition system based on natural voice interaction |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201911299131.3A CN111429876A (en) | 2019-12-17 | 2019-12-17 | Disease symptom information acquisition system based on natural voice interaction |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103839211A (en) * | 2014-03-23 | 2014-06-04 | 合肥新涛信息科技有限公司 | Medical history transferring system based on voice recognition |
| CN103853903A (en) * | 2012-12-04 | 2014-06-11 | 天津市医学堂科技有限公司 | Medical record information acquiring system |
| CN104485105A (en) * | 2014-12-31 | 2015-04-01 | 中国科学院深圳先进技术研究院 | Electronic medical record generating method and electronic medical record system |
| CN206021239U (en) * | 2016-06-27 | 2017-03-15 | 好人生（上海）健康科技有限公司 | It is specially adapted for the medical science point natural language interactive device that examines in advance |
| CN106650261A (en) * | 2016-12-22 | 2017-05-10 | 上海智臻智能网络科技股份有限公司 | Intelligent inquiry method, device and system |
-
2019
- 2019-12-17 CN CN201911299131.3A patent/CN111429876A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103853903A (en) * | 2012-12-04 | 2014-06-11 | 天津市医学堂科技有限公司 | Medical record information acquiring system |
| CN103839211A (en) * | 2014-03-23 | 2014-06-04 | 合肥新涛信息科技有限公司 | Medical history transferring system based on voice recognition |
| CN104485105A (en) * | 2014-12-31 | 2015-04-01 | 中国科学院深圳先进技术研究院 | Electronic medical record generating method and electronic medical record system |
| CN206021239U (en) * | 2016-06-27 | 2017-03-15 | 好人生（上海）健康科技有限公司 | It is specially adapted for the medical science point natural language interactive device that examines in advance |
| CN106650261A (en) * | 2016-12-22 | 2017-05-10 | 上海智臻智能网络科技股份有限公司 | Intelligent inquiry method, device and system |
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