CN112652303A - Local engine voice recognition and interaction method - Google Patents

Local engine voice recognition and interaction method Download PDF

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Publication number
CN112652303A
CN112652303A CN202010853309.0A CN202010853309A CN112652303A CN 112652303 A CN112652303 A CN 112652303A CN 202010853309 A CN202010853309 A CN 202010853309A CN 112652303 A CN112652303 A CN 112652303A
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China
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module
voice
voice information
data
information
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CN202010853309.0A
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郭运波
廖振雄
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Guangzhou Bonbs Electronic Technology Co ltd
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Guangzhou Bonbs Electronic Technology Co ltd
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    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; 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 OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/28Constructional details of speech recognition systems
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; 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

Abstract

The invention discloses a local engine voice recognition and interaction method, which specifically comprises the following steps: step 1: voice collection, step 2: and (3) comparing and identifying information, and step 3: the invention relates to the technical field of voice recognition, in particular to expansion management of voice information. The local engine voice recognition and interaction method enables a voice engine to rely on a local database to stably recognize voice information under the condition of network outage, original data and database information are compared, the information comparison and recognition efficiency is effectively improved, data are prevented from being directly acquired from the database, memory occupation and data damage probability are reduced, the safety of data and the integrity of data during data comparison are guaranteed through the arrangement of a voice information management module, the characteristics of information can be effectively captured through data interaction management, the subsequent analysis and use are facilitated, the local engine recognition efficiency is effectively improved through the management of safety and reliability.

Description

Local engine voice recognition and interaction method
Technical Field
The invention relates to the technical field of voice recognition, in particular to a local engine voice recognition and interaction method.
Background
Speech recognition is a cross discipline, and speech recognition technology has advanced significantly over the last two decades, starting to move from the laboratory to the market. It is expected that voice recognition technology will enter various fields such as industry, home appliances, communications, automotive electronics, medical care, home services, consumer electronics, etc. within the next 10 years. The speech recognition tasks can be broadly classified into 3 types, i.e., isolated word recognition, keyword recognition, and continuous speech recognition, according to the objects to be recognized. The task of the isolated word recognition is to recognize isolated words known in advance, such as 'power on', 'power off', and the like; the task of continuous speech recognition is to recognize any continuous speech, such as a sentence or a segment of speech; keyword detection in a continuous speech stream is for continuous speech, but it does not recognize all words, but only detects where known keywords appear, such as detecting the words "computer", "world" in a passage of speech.
When a common speech engine identifies speech, the speech engine can only be extracted and identified from a network database, once the network is interrupted, the speech engine cannot work stably, and the operation of identifying the speech by matching the local database with the local speech engine is also available at present, but the speech data is lack of further processing, and the identification efficiency of the local engine cannot be improved.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides a local engine voice recognition and interaction method, which solves the problems that when a common voice engine recognizes voice, the voice can only be extracted and recognized through a network database, once the network is interrupted, the voice engine cannot stably work, the operation of recognizing the voice by matching the local voice engine with the local database is also available, but the voice data is lack of further processing, and the recognition efficiency of the local engine cannot be improved.
(II) technical scheme
In order to achieve the purpose, the invention is realized by the following technical scheme: a local engine voice recognition and interaction method specifically comprises the following steps:
step 1: and (3) voice collection: the voice information analysis module analyzes the reliability of the signals and finally stores the reliability of the signals through the voice information log storage module;
step 2: and (3) comparing and identifying information: the information collected in the voice information data collection module is sent to an original data acquisition module after being unified and summarized, the database voice information acquisition module acquires corresponding data through a local database, then the similarity of the data and the data is compared through a voice information basic comparison module, and finally specific identification output data is acquired through a voice information comparison output module;
and step 3: expanding and managing voice information: after data in the voice information data comparison module is collected, the data are verified through a related information verification module, the data after interaction are output through an interaction output management module, then the output data are subjected to security verification management through a voice security management module, the output data are subjected to reliability verification management through a voice reliability management module, the voice information management module sends specific management results to a voice interaction module, and the data after interaction through the voice interaction module are output to a voice core judgment system;
and 4, step 4: and (3) safety processing of voice information: the unique information identified by the voice information management module is transmitted to the voice safety authentication module after being interacted by the voice interaction module, the independent voice characteristic and the voice characteristic with background sound are identified and managed by the independent voice characteristic confirmation module and the background voice characteristic confirmation module, the obtained relative information is marked by the voice integral marking module and then is transmitted to the local database for storage by the local engine module.
The invention also discloses a local engine voice recognition and interaction system, which comprises a voice core judgment system, wherein the voice core judgment system is in bidirectional connection with a local engine module, a voice interaction module and a voice security authentication module, the local engine module is in bidirectional connection with a voice information data collection module, a voice information data comparison module and a local database, the output end of the local engine module is electrically connected with the input end of a voice information management module, the output end of the voice core judgment system is electrically connected with the input end of a voice integrity marking module, the output end of the voice information data comparison module is electrically connected with the input end of the voice information management module, and the voice information data collection module comprises a voice signal primary collection module, a voice information data processing module, a voice information recursive analysis module and a local database, The voice information data display module and the voice information log storage module are electrically connected, and the output end of the voice signal primary collection module is electrically connected with the input end of the voice information data processing module
Preferably, the output end of the voice information data processing module is electrically connected with the input ends of the voice information recursive analysis module and the voice information data display module, and the output end of the voice information recursive analysis module is electrically connected with the input end of the voice information log storage module.
Preferably, the voice information data comparison module comprises an original data acquisition module, a database voice information acquisition module, a voice information basic comparison module and a voice information comparison output module.
Preferably, the output ends of the original data acquisition module and the database voice information acquisition module are electrically connected with the input end of the voice information basic comparison module, and the output end of the voice information basic comparison module is electrically connected with the input end of the voice information comparison output module.
Preferably, the voice information management module comprises a related information verification module, an interactive output management module, a voice security management module and a voice reliability management module, and an output end of the related information verification module is electrically connected with an input end of the interactive output management module.
Preferably, the output end of the interactive output management module is electrically connected with the input end of the voice security management module, and the output end of the voice security management module is electrically connected with the input end of the voice reliability management module.
Preferably, the voice security authentication module comprises an independent voice feature confirmation module and a background voice feature confirmation module, and an output end of the independent voice feature confirmation module is electrically connected with an input end of the background voice feature confirmation module.
(III) advantageous effects
The invention provides a local engine voice recognition and interaction method. Compared with the prior art, the method has the following beneficial effects:
(1) the local engine voice recognition and interaction method comprises the steps that the voice information data comparison module comprises an original data acquisition module, a database voice information acquisition module, a voice information basic comparison module and a voice information comparison output module, the output ends of the original data acquisition module and the database voice information acquisition module are electrically connected with the input end of the voice information basic comparison module, the output end of the voice information basic comparison module is electrically connected with the input end of the voice information comparison output module, the voice information management module comprises a related information verification module, an interaction output management module, a voice security management module and a voice reliability management module, the output end of the related information verification module is electrically connected with the input end of the interaction output management module, the output end of the interaction output management module is electrically connected with the input end of the voice security management module, the output end of the voice security management module is electrically connected with the input end of the voice reliability management module, the voice engine can stably recognize voice information by means of the local database under the condition of network disconnection through the joint arrangement of the voice information data comparison module and the local database, the original data is compared with the database information, the information comparison and recognition efficiency is effectively improved, the data are prevented from being directly acquired from the database, the memory occupation and the data damage probability are reduced, the data security and the data integrity during data comparison are ensured through the arrangement of the voice information management module, the data interaction is managed, the characteristics of the information can be effectively captured, the subsequent analysis and use are facilitated, the management of the security and the reliability is relied on, and the local engine recognition efficiency is effectively improved.
(2) The local engine voice recognition and interaction method comprises a voice signal preliminary collection module, a voice information data processing module, a voice information recursive analysis module, a voice information data display module and a voice information log storage module through a voice information data collection module, wherein the output end of the voice signal preliminary collection module is electrically connected with the input end of the voice information data processing module, the output end of the voice information data processing module is electrically connected with the input ends of the voice information recursive analysis module and the voice information data display module, the output end of the voice information recursive analysis module is electrically connected with the input end of the voice information log storage module, through the arrangement of the voice information data collection module, the voice signals can be stably processed and analyzed after being collected, and the specific characteristics of the voice information can be effectively extracted, the time of later stage contrast identification can be greatly shortened, and the overall processing efficiency is improved.
(3) The local engine voice recognition and interaction method comprises an independent voice feature confirmation module and a background voice feature confirmation module through a voice security authentication module, the output end of the independent voice feature confirmation module is electrically connected with the input end of the background voice feature confirmation module, the output end of a voice core judgment system is electrically connected with the input end of a voice integrity marking module, and the voice security authentication module is arranged, so that voice features can be sufficiently analyzed during voice interaction, the voice information security is improved, meanwhile, later-stage voice information can be conveniently processed, the voice information is effectively marked through arrangement, the later-stage recognition time can be greatly shortened, and the recognition efficiency is improved.
Drawings
FIG. 1 is a schematic block diagram of the system of the present invention;
FIG. 2 is a system schematic block diagram of a voice information data collection module of the present invention;
FIG. 3 is a system schematic block diagram of a voice message data comparison module of the present invention;
FIG. 4 is a system schematic block diagram of a voice message management module of the present invention;
fig. 5 is a system schematic block diagram of the voice security authentication module of the present invention.
In the figure, 1, a voice core judgment system; 2. a local engine module; 3. a voice interaction module; 4. a voice security authentication module; 41. an independent voice feature confirmation module; 42. a background voice feature confirmation module; 5. a voice information data collection module; 51. a voice signal preliminary collection module; 52. a voice information data processing module; 53. a voice information recursive analysis module; 54. a voice information data display module; 55. a voice information log storage module; 6. a voice information data comparison module; 61. an original data acquisition module; 62. a database voice information acquisition module; 63. a voice information basic comparison module; 64. a voice information comparison output module; 7. a local database; 8. a voice information management module; 81. a related information verification module; 82. an interactive output management module; 83. a voice security management module; 84. a voice reliability management module; 9. and a voice integrity marking module.
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.
Referring to fig. 1-5, an embodiment of the present invention provides a technical solution: a local engine voice recognition and interaction method specifically comprises the following steps:
step 1: and (3) voice collection: the voice signals are collected through a voice signal preliminary collection module 51, Fourier transform processing is carried out on the signals through a voice information data processing module 52, the processed data are sent to a voice information recursive analysis module 53, meanwhile, the processed information is subjected to repeat confirmation through a voice information data display module 54, the reliability of the signals is analyzed through the voice information recursive analysis module 53, and finally, the signals are stored through a voice information log storage module 55;
step 2: and (3) comparing and identifying information: after being unified and summarized, the information collected in the voice information data collection module 5 is sent to the original data acquisition module 61, the database voice information acquisition module 62 acquires corresponding data through the local database 7, then the similarity of the two is compared through the voice information basic comparison module 63, and finally specific recognition output data is acquired through the voice information comparison output module 64;
and step 3: expanding and managing voice information: after data in the voice information data comparison module 6 is collected, the data is verified through a related information verification module 81, the data after interaction is output through an interaction output management module 82, then the output data is subjected to security verification management through a voice security management module 83, the output data is subjected to reliability verification management through a voice reliability management module 84, a specific management result is sent to the voice interaction module 3 through a voice information management module 8, and the data after interaction through the voice interaction module 3 is output to the voice core judgment system 1;
and 4, step 4: and (3) safety processing of voice information: the unique information identified by the voice information management module 8 is transmitted to the voice security authentication module 4 after being interacted by the voice interaction module 3, the independent voice feature and the voice feature with background sound are identified and managed by the independent voice feature confirmation module 41 and the background voice feature confirmation module 42, the obtained relative information is marked by the voice integral marking module 9 and then transmitted to the local database 7 for storage by the local engine module 2.
The invention also discloses a local engine voice recognition and interaction system, which comprises a voice core judgment system 1 and is characterized in that: the voice core judging system 1 is bidirectionally connected with the local engine module 2, the voice interaction module 3 and the voice security authentication module 4, the local engine module 2 is bidirectionally connected with the voice information data collecting module 5, the voice information data comparing module 6 and the local database 7, the output end of the local engine module 2 is electrically connected with the input end of the voice information management module 8, the output end of the voice core judging system 1 is electrically connected with the input end of the voice integrity marking module 9, the output end of the voice information data comparing module 6 is electrically connected with the input end of the voice information management module 8, the voice information data collecting module 5 comprises a voice signal preliminary collecting module 51, a voice information data processing module 52, a voice information recursive analysis module 53, a voice information data displaying module 54 and a voice information log storing module 55, the output end of the voice signal preliminary collection module 51 is electrically connected with the input end of the voice information data processing module 52, the output end of the voice information data processing module 52 is electrically connected with the input ends of the voice information recursive analysis module 53 and the voice information data presentation module 54, the output end of the voice information recursive analysis module 53 is electrically connected with the input end of the voice information log storage module 55, the voice information data comparison module 6 comprises an original data acquisition module 61, a database voice information acquisition module 62, a voice information basic comparison module 63 and a voice information comparison output module 64, the output ends of the original data acquisition module 61 and the database voice information acquisition module 62 are electrically connected with the input end of the voice information basic comparison module 63, and the output end of the voice information basic comparison module 63 is electrically connected with the input end of the voice information comparison output module 64, the voice information management module 8 includes a related information verification module 81, an interaction output management module 82, a voice security management module 83 and a voice reliability management module 84, an output end of the related information verification module 81 is electrically connected to an input end of the interaction output management module 82, an output end of the interaction output management module 82 is electrically connected to an input end of the voice security management module 83, an output end of the voice security management module 83 is electrically connected to an input end of the voice reliability management module 84, the voice security authentication module 4 includes an independent voice feature confirmation module 41 and a background voice feature confirmation module 42, and an output end of the independent voice feature confirmation module 41 is electrically connected to an input end of the background voice feature confirmation module 42.
Through the combined arrangement of the voice information data comparison module 6 and the local database 7, the voice engine can stably identify the voice information under the condition of network failure by depending on the local database, through the comparison of the original data and the database information, the information comparison and identification efficiency is effectively improved, the data is prevented from being directly obtained from the database, the memory occupation and the data damage probability are reduced, the data safety and the data integrity during the data comparison are ensured through the arrangement of the voice information management module 8, not only through the management of data interaction, the characteristics of the information can be effectively captured for the subsequent analysis and use, but also through the management of the safety and the reliability, the local engine identification efficiency is effectively improved, through the arrangement of the voice information data collection module 5, the voice signal can be stably processed and analyzed after being collected, specific characteristics of voice information can be effectually drawed, the time of shortening later stage contrast discernment that can be great has improved overall processing efficiency, through the setting of pronunciation safety authentication module 4 for carry out abundant analysis to voice characteristic during voice interaction, improved voice information security, make things convenient for later stage voice information to handle simultaneously, and through the setting of 9, voice information is effectively marked, can shorten later stage discernment time by a wide margin, improves recognition efficiency.
And those not described in detail in this specification are well within the skill of those in the art.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (8)

1. A local engine voice recognition and interaction method is characterized in that: the method specifically comprises the following steps:
step 1: and (3) voice collection: the voice signal is collected through a voice signal preliminary collection module (51), Fourier transform processing is carried out on the signals through a voice information data processing module (52), the processed data are sent to a voice information recursive analysis module (53), meanwhile, the processed information is subjected to repeat confirmation through a voice information data display module (54), the reliability of the signals is analyzed through the voice information recursive analysis module (53), and finally the signals are saved through a voice information log saving module (55);
step 2: and (3) comparing and identifying information: after being unified and summarized, the information collected in the voice information data collection module (5) is sent to an original data acquisition module (61), a database voice information acquisition module (62) acquires corresponding data through a local database (7), then the similarity of the two is compared through a voice information basic comparison module (63), and finally specific recognition output data is acquired through a voice information comparison output module (64);
and step 3: expanding and managing voice information: after data in the voice information data comparison module (6) are collected, the data are verified through a related information verification module (81), the data after interaction are output through an interaction output management module (82), then the output data are subjected to security verification management through a voice security management module (83), the output data are subjected to reliability verification management through a voice reliability management module (84), a specific management result is sent to the voice interaction module (3) through a voice information management module (8), and the data after interaction through the voice interaction module (3) are output to a voice core judgment system (1);
and 4, step 4: and (3) safety processing of voice information: the unique information identified by the voice information management module (8) is transmitted to the voice security authentication module (4) after being interacted by the voice interaction module (3), the independent voice characteristics and the voice characteristics with background sound are identified and managed by the independent voice characteristic confirmation module (41) and the background voice characteristic confirmation module (42), the obtained relative information is marked by the voice integral marking module (9), and then the relative information is transmitted to the local database (7) for storage by the local engine module (2).
2. A local engine speech recognition and interaction system comprises a speech core judgment system (1), and is characterized in that: the voice core judgment system (1) is in bidirectional connection with a local engine module (2), a voice interaction module (3) and a voice safety authentication module (4), the local engine module (2) is in bidirectional connection with a voice information data collection module (5), a voice information data comparison module (6) and a local database (7), the output end of the local engine module (2) is in electric connection with the input end of a voice information management module (8), the output end of the voice core judgment system (1) is in electric connection with the input end of a voice integrity marking module (9), the output end of the voice information data comparison module (6) is in electric connection with the input end of the voice information management module (8), the voice information data collection module (5) comprises a voice signal primary collection module (51), a voice information data processing module (52), The voice information recursive analysis module (53), the voice information data display module (54) and the voice information log storage module (55), wherein the output end of the voice signal primary collection module (51) is electrically connected with the input end of the voice information data processing module (52).
3. The local engine speech recognition and interaction system of claim 2, wherein: the output end of the voice information data processing module (52) is electrically connected with the input ends of the voice information recursive analysis module (53) and the voice information data display module (54), and the output end of the voice information recursive analysis module (53) is electrically connected with the input end of the voice information log storage module (55).
4. The local engine speech recognition and interaction system of claim 2, wherein: the voice information data comparison module (6) comprises an original data acquisition module (61), a database voice information acquisition module (62), a voice information basic comparison module (63) and a voice information comparison output module (64).
5. The local engine speech recognition and interaction system of claim 4, wherein: the output ends of the original data acquisition module (61) and the database voice information acquisition module (62) are electrically connected with the input end of the voice information basic comparison module (63), and the output end of the voice information basic comparison module (63) is electrically connected with the input end of the voice information comparison output module (64).
6. The local engine speech recognition and interaction system of claim 2, wherein: the voice information management module (8) comprises a related information verification module (81), an interactive output management module (82), a voice security management module (83) and a voice reliability management module (84), and the output end of the related information verification module (81) is electrically connected with the input end of the interactive output management module (82).
7. The local engine speech recognition and interaction system of claim 6, wherein: the output end of the interaction output management module (82) is electrically connected with the input end of the voice security management module (83), and the output end of the voice security management module (83) is electrically connected with the input end of the voice reliability management module (84).
8. The local engine speech recognition and interaction system of claim 2, wherein: the voice safety certification module (4) comprises an independent voice characteristic confirmation module (41) and a background voice characteristic confirmation module (42), wherein the output end of the independent voice characteristic confirmation module (41) is electrically connected with the input end of the background voice characteristic confirmation module (42).
CN202010853309.0A 2020-08-23 2020-08-23 Local engine voice recognition and interaction method Pending CN112652303A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113763046A (en) * 2021-09-07 2021-12-07 四川易海天科技有限公司 Mobile internet vehicle-mounted intelligent delivery system based on big data analysis

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113763046A (en) * 2021-09-07 2021-12-07 四川易海天科技有限公司 Mobile internet vehicle-mounted intelligent delivery system based on big data analysis

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