CN113096654A - Computer voice recognition system based on big data - Google Patents

Computer voice recognition system based on big data Download PDF

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Publication number
CN113096654A
CN113096654A CN202110331201.XA CN202110331201A CN113096654A CN 113096654 A CN113096654 A CN 113096654A CN 202110331201 A CN202110331201 A CN 202110331201A CN 113096654 A CN113096654 A CN 113096654A
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voice
keyword
unit
recording
information
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CN113096654B (en
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潘晓光
张娜
宋晓晨
陈亮
陈智娇
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Shanxi Sanyouhe Smart Information Technology Co Ltd
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    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/22Procedures used during a speech recognition process, e.g. man-machine dialogue
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/02Feature extraction for speech recognition; Selection of recognition unit
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/08Speech classification or search
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/28Constructional details of speech recognition systems
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/22Procedures used during a speech recognition process, e.g. man-machine dialogue
    • G10L2015/223Execution procedure of a spoken command

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  • Engineering & Computer Science (AREA)
  • Computational Linguistics (AREA)
  • Health & Medical Sciences (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • Human Computer Interaction (AREA)
  • Physics & Mathematics (AREA)
  • Acoustics & Sound (AREA)
  • Multimedia (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

The invention discloses a computer voice recognition system based on big data, which comprises a keyword recording unit, a personal characteristic recording unit, a voice characteristic analysis system, a voice characteristic result generation unit, a voice data matching system, a voice recording library system, a big database, a keyword search generation system, a keyword matching system and a computer voice recognition system; the keyword recording unit and the personal characteristic recording unit are both connected with the voice characteristic analysis system, and the keyword recording unit is used for recording keyword voice information; the voice feature analysis system is used for extracting and analyzing the keywords and the personal feature voice information; the device has the characteristics that the used voice can be recognized by two aspects of the personal characteristic prediction key words of the user, and the recognition efficiency and accuracy of the computer voice recognition system are greatly improved.

Description

Computer voice recognition system based on big data
Technical Field
The invention relates to the field of computer voice recognition systems, in particular to a computer voice recognition system based on big data.
Background
The computer is commonly called as computer, is a modern electronic computing machine for high-speed computation, can perform numerical computation and logic computation, and also has the function of storage and memory. The intelligent electronic device can be operated according to a program, and can automatically process mass data at a high speed. A computer that is composed of a hardware system and a software system and does not have any software installed is called a bare metal. The computer can be divided into a super computer, an industrial control computer, a network computer, a personal computer and an embedded computer, and more advanced computers comprise a biological computer, a photon computer, a quantum computer and the like.
The System software of the computer is composed of a group of programs for controlling the computer System and managing the resources thereof, and the main functions of the System software comprise: starting the computer, storing, loading and executing the application program, sequencing and retrieving the files, translating the programming language into the machine language, and the like. In fact, the system software can be viewed as a user interface with the computer, which provides the means for application software and the user to control and access the hardware, these functions being performed primarily by the operating system. Furthermore, compiling systems and various tool software are also of this type, which on the other hand assist the user in using the computer. Their functions are described separately below. With the development of computer systems, people can operate and use the computer system through languages, and therefore the computer is internally provided with a language recognition system.
The prior computer voice recognition system technology has the following problems: the existing computer voice recognition system can not accurately find the corresponding voice during recognition, so that the recognition is not accurate during use, and the speed of responding to the voice recognition is low during use.
Disclosure of Invention
The invention aims to provide a computer voice recognition system based on big data.
In order to achieve the purpose, the invention provides the following technical scheme: a computer voice recognition system based on big data comprises a keyword recording unit, a personal feature recording unit, a voice feature analysis system, a voice feature result generation unit, a voice data matching system, a voice recording library system, a big database, a keyword search generation system, a keyword matching system and a computer voice recognition system;
the keyword recording unit and the personal characteristic recording unit are both connected with the voice characteristic analysis system, and the keyword recording unit is used for recording keyword voice information; the voice feature analysis system is used for extracting and analyzing the keywords and the personal feature voice information; the voice characteristic analysis system is connected with the voice characteristic result generation unit and sends the extracted and analyzed voice information to the voice characteristic result generation unit; the voice characteristic result generating unit is connected with the voice data matching system and converts the received voice information content characteristics into voice characteristic results and sends the voice characteristic results to the voice data matching system;
the voice data matching system is connected with the voice recording library system, and the voice recording library system is connected with the big database; the voice recording library system is used for extracting the voice information in the large database to the voice recording library system, further accurately extracting the voice information by the voice recording library system and then sending the accurately extracted voice information to the voice data matching system; the voice data matching system is used for matching and comparing the voice characteristic result with the accurately extracted voice information, and further matching and comparing keywords; the voice data matching system is connected with the keyword search generating system and transmits the compared keywords to the keyword search generating system; the keyword search generation system is connected with the computer voice recognition system, and the keyword search generation system sends the keywords to the computer voice recognition system.
Further, the keyword recording unit is connected with a keyword matching system, and the keyword matching system is used for searching keywords for one time through the keyword recording unit; the keyword matching system is connected with the keyword searching and generating system, the keyword searching and generating system carries out secondary searching on the matched and compared keywords in the keyword matching system, and then the extracted voice information is sent to the computer voice recognition system.
Further, the personal characteristic recording unit includes a sex recording unit, an age recording unit and/or a job recording unit.
Furthermore, the gender recording unit, the age recording unit and the post recording unit are all connected with the voice characteristic analysis system.
The system further comprises a voice information collecting unit, the keyword recording unit and the personal feature unit are both connected with the voice information collecting unit, the voice information collecting unit collects various voice information to the outside through the information collecting unit, and the collected various voice information is respectively transmitted to the corresponding keyword recording unit and the personal feature unit through the screening unit.
Further, the system also comprises a keyword category analysis unit and a keyword field analysis unit;
the keyword category analysis unit is connected with the keyword matching system and is used for classifying categories of the keywords in the keyword recording unit;
the keyword field analysis unit is connected with the keyword matching system; the keyword domain analyzing unit is used for classifying the domain of the keyword in the keyword recording unit.
Further, the voice feature analysis system comprises a voice recognition converter, and the voice recognition converter is used for extracting the voice information content features and sending the extracted voice information content features to the voice feature result generation unit.
Further, the voice feature result generating unit includes an information extraction and conversion device for converting the voice information content feature into a voice feature result and sending the voice feature result to the voice data matching system.
Furthermore, a search engine is arranged in the voice record library system and used for extracting the voice information in the large database to the voice record library system.
The invention has the following technical effects: the keyword recording unit, the gender recording unit, the age recording unit and the job recording unit which are respectively connected through the voice characteristic analysis system can conveniently record gender, age and job information of a user, and meanwhile, the keyword recording unit and the keyword matching system which are connected through the voice characteristic analysis system are connected, keywords of the user can be conveniently extracted, personal condition characteristics and keywords of the user can be conveniently extracted, efficient matching search is carried out according to big data, voice information is efficiently extracted, and the voice information is sent to a computer voice recognition system. The device has the characteristics that the used voice can be recognized by two aspects of the personal characteristic prediction key words of the user, and the recognition efficiency and accuracy of the computer voice recognition system are greatly improved.
Drawings
FIG. 1 is a system diagram of a big data based computer speech recognition system in an embodiment;
FIG. 2 is a system diagram between a keyword matching system and a big database of the big data based computer speech recognition system in the embodiment.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Examples
As shown in fig. 1-2, a big data based computer voice recognition system includes a keyword recording unit, a personal feature recording unit, a voice feature analyzing system, a voice feature result generating unit, a voice data matching system, a voice record library system, a big database, a keyword search generating system, a keyword matching system, and a computer voice recognition system;
the keyword recording unit and the personal characteristic recording unit are both connected with the voice characteristic analysis system, and the keyword recording unit is used for recording keyword voice information; the voice feature analysis system is used for extracting and analyzing the keywords and the personal feature voice information; the voice characteristic analysis system is connected with the voice characteristic result generation unit and sends the extracted and analyzed voice information to the voice characteristic result generation unit; the voice characteristic result generating unit is connected with the voice data matching system and converts the received voice information content characteristics into voice characteristic results and sends the voice characteristic results to the voice data matching system;
the voice data matching system is in bidirectional signal connection with the voice recording library system, and the voice recording library system is in bidirectional information connection with the large database; the voice recording library system is used for extracting the voice information in the large database to the voice recording library system, further accurately extracting the voice information by the voice recording library system and then sending the accurately extracted voice information to the voice data matching system; the voice data matching system is used for matching and comparing the voice characteristic result with the accurately extracted voice information, and further matching and comparing keywords; the voice data matching system is connected with the keyword search generating system and transmits the compared keywords to the keyword search generating system; the keyword search generation system is connected with the computer voice recognition system, and the keyword search generation system sends the keywords to the computer voice recognition system.
The keyword recording unit is connected with the keyword matching system, the keyword matching system is bidirectionally connected with a large database, and the keyword matching system is used for searching keywords for one time through the keyword recording unit; the keyword matching system is in bidirectional connection with the keyword search generation system, the keyword search generation system carries out secondary search on the matched and compared keywords in the keyword matching system, and then the extracted voice information is sent to the computer voice recognition system.
The personal characteristic recording unit comprises a gender recording unit, an age recording unit and/or a post recording unit. The gender recording unit, the age recording unit and the post recording unit are all connected with the voice characteristic analysis system.
The system also comprises a voice information collecting unit, the keyword recording unit and the personal characteristic unit are both connected with the voice information collecting unit, the voice information collecting unit collects various voice information to the outside through each information collecting unit, and transmits the collected various voice information to the corresponding keyword recording unit and the personal characteristic unit through the screening unit.
Specifically, the keyword recording unit, the gender recording unit, the age recording unit and the job recording unit comprise a screening unit for screening information transmitted in the voice information collecting unit, so that various screened information can be respectively transmitted to the keyword recording unit, the gender recording unit, the age recording unit and the job recording unit for extracting keywords, recording gender, age and job information and sending the information to the voice feature analysis system.
The system also comprises a keyword category analysis unit and a keyword field analysis unit; the keyword category analysis unit is connected with the keyword matching system and is used for efficiently classifying categories of the keywords in the keyword recording unit; the keyword field analysis unit is connected with the keyword matching system; the keyword domain analyzing unit is used for efficiently classifying the domain of the keyword in the keyword recording unit.
The voice feature analysis system comprises a voice recognition converter, wherein the voice recognition converter is used for extracting the voice information content features and sending the extracted voice information content features to a voice feature result generation unit.
The voice feature result generating unit comprises information extraction and conversion equipment, and the information extraction and conversion equipment is used for converting the voice information content features into voice feature results and sending the voice feature results to the voice data matching system.
And a search engine is arranged in the voice record library system and is used for extracting the voice information in the large database to the voice record library system, and then the voice information is further accurately extracted by the voice record library system and then is sent to the voice data matching system.
The working principle is as follows: when the voice feature analysis system is used, the keyword recording unit, the gender recording unit, the age recording unit and the post recording unit which are respectively connected with the voice feature analysis system can be used for conveniently extracting and analyzing the recorded gender, age and post information of the user, and then the voice feature analysis system sends the extracted voice content features to the voice feature result generation unit. The voice characteristic result generating unit converts the received voice information content characteristics into voice characteristic results and sends the voice characteristic results to the voice data matching system.
The voice data matching system is in bidirectional signal connection with the voice recording library system, the voice recording library system is in bidirectional information connection with the big database, and the voice recording library system is used for extracting voice information in the big database to the voice recording library system, further extracting the voice information accurately by the voice recording library system, and sending the extracted voice information to the voice data matching system.
The voice data matching system is used for matching and comparing the voice characteristic results received by the voice characteristic result generating unit with the accurately extracted voice information in the voice record library system, so that keywords can be matched and compared, and the keywords are transmitted to the keyword search generating system.
The keyword matching system is connected with a keyword category analysis unit and a keyword field analysis unit and is used for efficiently classifying the fields and categories of the keywords in the keyword recording unit, so that the keywords can be searched for once through the keyword recording unit, then the keywords obtained through matching can be searched for twice through the keyword search generation system, further, the situation characteristics and the keywords in personal voice and voice of a user can be conveniently found, efficient matching search is carried out according to big data, voice information is extracted efficiently, and the voice information is sent to the computer voice recognition system. The device has the characteristics that the used voice can be identified by the personal characteristics and the keywords of the user, and the identification efficiency and accuracy of the computer voice identification system are greatly improved.
Although only the preferred embodiments of the present invention have been described in detail, the present invention is not limited to the above embodiments, and various changes can be made without departing from the spirit of the present invention within the knowledge of those skilled in the art, and all changes are encompassed in the scope of the present invention.

Claims (9)

1. A big data-based computer voice recognition system is characterized by comprising a keyword recording unit, a personal feature recording unit, a voice feature analysis system, a voice feature result generation unit, a voice data matching system, a voice recording library system, a big database, a keyword search generation system, a keyword matching system and a computer voice recognition system;
the keyword recording unit and the personal characteristic recording unit are both connected with the voice characteristic analysis system, and the keyword recording unit is used for recording keyword voice information; the voice feature analysis system is used for extracting and analyzing the keywords and the personal feature voice information; the voice characteristic analysis system is connected with the voice characteristic result generation unit and sends the extracted and analyzed voice information to the voice characteristic result generation unit; the voice characteristic result generating unit is connected with the voice data matching system and converts the received voice information content characteristics into voice characteristic results and sends the voice characteristic results to the voice data matching system;
the voice data matching system is connected with the voice recording library system, and the voice recording library system is connected with the big database; the voice recording library system is used for extracting the voice information in the large database to the voice recording library system, further accurately extracting the voice information by the voice recording library system and then sending the accurately extracted voice information to the voice data matching system; the voice data matching system is used for matching and comparing the voice characteristic result with the accurately extracted voice information, and further matching and comparing keywords; the voice data matching system is connected with the keyword search generating system and transmits the compared keywords to the keyword search generating system; the keyword search generation system is connected with the computer voice recognition system, and the keyword search generation system sends the keywords to the computer voice recognition system.
2. The big data based computer voice recognition system of claim 1, wherein the keyword recording unit is connected to a keyword matching system for performing a search for the keyword through the keyword recording unit; the keyword matching system is connected with the keyword searching and generating system, the keyword searching and generating system carries out secondary searching on the matched and compared keywords in the keyword matching system, and then the extracted voice information is sent to the computer voice recognition system.
3. A big data based computer speech recognition system according to claim 1, wherein the personal profile record unit comprises a gender record unit, an age record unit and/or a job record unit.
4. A big data based computer speech recognition system as in claim 3, wherein the gender logging unit, the age logging unit and the job logging unit are all connected to the speech feature analysis system.
5. The big data based computer voice recognition system of claim 1, further comprising a voice information collection unit, wherein the keyword recording unit and the personal feature unit are both connected to the voice information collection unit, the voice information collection unit collects various voice information to the outside through the information collection unit, and transmits the collected various voice information to the corresponding keyword recording unit and the personal feature unit through the screening unit.
6. The big data based computer voice recognition system of claim 1, further comprising a keyword category analysis unit and a keyword field analysis unit;
the keyword category analysis unit is connected with the keyword matching system and is used for classifying categories of the keywords in the keyword recording unit; the keyword field analysis unit is connected with the keyword matching system; the keyword domain analyzing unit is used for classifying the domain of the keyword in the keyword recording unit.
7. The big data based computer speech recognition system of claim 1, wherein the speech feature analysis system comprises a speech recognition converter for extracting content features of the speech information and sending the extracted content features of the speech information to the speech feature result generation unit.
8. The big data based computer speech recognition system of claim 1, wherein the speech feature result generating unit comprises an information extraction and conversion device for converting the content features of the speech information into speech feature results and sending the speech feature results to the speech data matching system.
9. The big data based computer voice recognition system of claim 1, wherein a search engine is provided in the voice record repository system, the search engine being configured to extract the voice information in the big database to the voice record repository system.
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