CN111128194A - System and method for improving online voice recognition effect - Google Patents
System and method for improving online voice recognition effect Download PDFInfo
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- CN111128194A CN111128194A CN201911411276.8A CN201911411276A CN111128194A CN 111128194 A CN111128194 A CN 111128194A CN 201911411276 A CN201911411276 A CN 201911411276A CN 111128194 A CN111128194 A CN 111128194A
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- 238000012216 screening Methods 0.000 claims abstract description 10
- 238000005520 cutting process Methods 0.000 claims description 16
- 238000001914 filtration Methods 0.000 claims description 11
- 238000010008 shearing Methods 0.000 claims description 9
- 238000000605 extraction Methods 0.000 claims description 6
- 230000005236 sound signal Effects 0.000 claims description 3
- 238000010586 diagram Methods 0.000 description 11
- 238000012545 processing Methods 0.000 description 9
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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
- G10L15/00—Speech recognition
- G10L15/08—Speech classification or search
- G10L15/14—Speech classification or search using statistical models, e.g. Hidden Markov Models [HMMs]
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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
- G10L15/24—Speech recognition using non-acoustical features
- G10L15/25—Speech recognition using non-acoustical features using position of the lips, movement of the lips or face analysis
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Abstract
The invention discloses a system and a method for improving online voice recognition effect, wherein the system comprises: the equipment end is connected with the cloud end and used for acquiring the portrait related information and the recording information of the user and sending the portrait related information and the recording information of the user to the cloud end; the cloud end is used for carrying out model screening according to the portrait related information of the user to obtain a preset language model and configuring a cloud end engine according to the preset voice model; the cloud engine is used for recognizing the recording information of the user to obtain a recognition result, and sending the recognition result to the equipment end, and the equipment end is further used for broadcasting according to the recognition result. According to the technical scheme, the model can be dynamically screened according to individual differences of the user, so that the model matched with the user portrait related information is obtained, the recording information is identified through the cloud engine configured by the model, and the accuracy of the obtained identification result is higher.
Description
Technical Field
The invention relates to the technical field of voice recognition, in particular to a system and a method for improving an online voice recognition effect.
Background
With the progress of data processing technology and the rapid spread of mobile internet, computer technology is widely applied to various fields of society, and with the progress of data processing technology, mass data is generated. Among them, voice data is receiving more and more attention. Speech recognition is a cross discipline. Over the last two decades. Speech recognition technology has made significant progress, 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.
At present, for users with different genders and ages, a single model is adopted for voice recognition, so that individual differences of speakers cannot be sensed, and the accuracy rate of recognition results is low.
Disclosure of Invention
The invention provides a system and a method for improving online voice recognition effect. The technical scheme is as follows:
according to a first aspect of the embodiments of the present invention, there is provided a system for improving an online speech recognition effect, including:
the equipment end is connected with the cloud end and used for acquiring portrait related information and recording information of a user and sending the portrait related information and the recording information of the user to the cloud end;
the cloud is used for carrying out model screening according to the portrait related information of the user to obtain a preset language model, and configuring a cloud engine according to the preset voice model;
the cloud is further used for identifying the recording information of the user through the cloud engine to obtain an identification result, and sending the identification result to the equipment end, wherein the identification result is an audio signal;
and the equipment terminal is also used for broadcasting according to the identification result.
In one embodiment, the device side includes:
the acquisition module is connected with the identification module and used for acquiring the face information of the user;
the recognition module is respectively connected with the acquisition module and the extraction module and is used for carrying out face recognition on the face information of the user to obtain a face recognition result;
and the extraction module is used for extracting the face recognition result so as to obtain the portrait related information of the user.
In one embodiment, the identification module includes:
the judging submodule is connected with the shearing submodule and used for judging whether the face information reaches a preset standard or not;
the cutting submodule is respectively connected with the judging submodule and the identifying submodule and is used for cutting the face characteristics of the face information when the face information reaches a preset standard to obtain a cutting result;
and the recognition submodule is used for recognizing the cutting result to obtain the face recognition result.
In one embodiment, the cloud comprises:
and the loading module is used for loading the preset voice model to a preset engine so as to obtain the cloud engine.
In one embodiment, the device side further includes:
the filtering module is connected with the playing module and is used for filtering the identification result to obtain a filtered identification result;
and the playing module is used for playing the filtered identification result.
According to a second aspect of the embodiments of the present invention, there is provided a method for improving an online voice recognition effect, including:
acquiring portrait related information and recording information of a user;
performing model screening according to the portrait related information of the user to obtain a preset language model, and configuring a cloud engine according to the preset voice model;
identifying the recording information of the user through the cloud engine to obtain an identification result;
and broadcasting according to the identification result.
In one embodiment, the obtaining of portrait related information of a user includes:
collecting face information of a user;
carrying out face recognition on the face information of the user to obtain a face recognition result;
and extracting the face recognition result to obtain the portrait related information of the user.
In one embodiment, the performing face recognition on the face information of the user to obtain a face recognition result includes:
judging whether the face information reaches a preset standard or not;
when the face information reaches a preset standard, carrying out face feature shearing on the face information to obtain a shearing result;
and identifying the cutting result to obtain the face identification result.
In one embodiment, the configuring the cloud engine according to the preset speech model includes:
and loading the preset voice model to a preset engine to obtain the cloud engine.
In one embodiment, the performing broadcast processing according to the identification result includes:
filtering the identification result to obtain a filtered identification result;
and playing the filtered identification result.
The technical scheme provided by the embodiment of the invention can have the following beneficial effects:
compared with the method for identifying the recording information according to a single and unchangeable model, the technical scheme of the invention can be used for dynamically screening the model according to the individual difference of the user to obtain the model matched with the portrait related information of the user, and the cloud engine configured by the model is used for identifying the recording information, so that the accuracy of the obtained identification result is higher.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a block diagram of a system for improving online speech recognition in accordance with an embodiment of the present invention;
FIG. 2 is a block diagram of another system for enhancing the effectiveness of online speech recognition in accordance with an embodiment of the present invention;
FIG. 3 is a flowchart illustrating a method for improving online speech recognition in accordance with an embodiment of the present invention;
FIG. 4 is a flowchart illustrating another method for improving online speech recognition according to an embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
Fig. 1 is a block diagram of a system for improving an online speech recognition effect according to an embodiment of the present invention, as shown in fig. 1, the system includes:
the equipment end 1 is connected with the cloud end 2 and used for acquiring portrait related information and recording information of a user and sending the portrait related information and the recording information of the user to the cloud end 2; the portrait related information of the user includes, but is not limited to, age, gender, occupation, mood, country, etc.
The cloud 2 is used for performing model screening according to the portrait related information of the user to obtain a preset language model, and configuring a cloud engine according to the preset language model; for example, the portrait related information of the user is displayed by a girl of six years old or so, and the cloud filters language models in the fields of children toys, audio books, music and the like according to the information to configure a cloud engine.
The cloud end 2 is further configured to identify the recording information of the user through the cloud end engine to obtain an identification result, and send the identification result to the device end 1, where the identification result is an audio signal; the method comprises the following steps that the cloud engine identifies the recording information of the user and sends the recording information of the user to the cloud engine.
The device end 1 is further configured to perform broadcast processing according to the identification result.
The method comprises the steps that portrait related information and recording information of a user are obtained through an equipment end 1 and are sent to a cloud end 2, the cloud end 2 conducts model screening according to the received portrait related information of the user, a model matched with the portrait related information of the user is screened out, the screened model is configured on a cloud end engine, then the cloud end engine identifies the recording information of the user, and a recognition result is sent to the equipment end 1, so that the equipment end 1 broadcasts according to the recognition result; compared with the method for identifying the recording information according to a single and unchangeable model, the technical scheme of the invention can be used for dynamically screening the model according to the individual difference of the user to obtain the model matched with the portrait related information of the user, and the cloud engine configured by the model is used for identifying the recording information, so that the accuracy of the obtained identification result is higher.
As shown in fig. 2, in one embodiment, the device terminal 1 includes:
the acquisition module 11 is connected with the recognition module 12 and used for acquiring the face information of the user;
the recognition module 12 is respectively connected to the acquisition module 11 and the extraction module 13, and is configured to perform face recognition on the face information of the user to obtain a face recognition result;
the extracting module 13 is configured to extract the face recognition result to obtain portrait related information of the user.
The face information of the user is collected through the collection module, the face information of the user is subjected to face recognition through the recognition module to obtain a face recognition result, the face recognition result is extracted through the extraction module, and the obtained image related information of the user is high in matching degree with the user.
In one embodiment, the identification module includes:
the judging submodule is connected with the shearing submodule and used for judging whether the face information reaches a preset standard or not;
the cutting submodule is respectively connected with the judging submodule and the identifying submodule and is used for cutting the face characteristics of the face information when the face information reaches a preset standard to obtain a cutting result;
and the recognition submodule is used for recognizing the cutting result to obtain the face recognition result.
The judgment submodule judges whether the face information reaches the preset standard or not, so that useless image information can be prevented from being recognized, the workload is reduced, the face information is cut through the cutting submodule, and the cut result is recognized, so that the obtained face recognition result is more reliable.
In one embodiment, the cloud comprises:
and the loading module is used for loading the preset voice model to a preset engine so as to obtain the cloud engine.
The preset language model is loaded to the preset engine through the loading module, and when the preset language model changes dynamically, the finally obtained cloud engine can also change to be in the state most suitable for the user.
In one embodiment, the device side further includes:
the filtering module is connected with the playing module and is used for filtering the identification result to obtain a filtered identification result;
and the playing module is used for playing the filtered identification result.
The recognition result obtained by filtering the recognition through the filtering module can enable a user to hear the result more clearly during playing.
As for the system for improving the online voice recognition effect provided by the embodiment of the present invention, the embodiment of the present invention further provides a method for improving the online voice recognition effect, as shown in fig. 3, the method may be implemented as the following steps S31-S34:
in step S31, image-related information and audio information of the user are acquired;
in step S32, performing model screening according to the portrait-related information of the user to obtain a preset language model, and configuring a cloud engine according to the preset language model;
in step S33, recognizing the recording information of the user by the cloud engine to obtain a recognition result;
in step S34, a broadcast process is performed based on the recognition result.
As shown in FIG. 4, in one embodiment, the obtaining of portrait related information of a user includes the following steps:
in step S311, face information of the user is collected;
in step S312, performing face recognition on the face information of the user to obtain a face recognition result;
in step S313, the face recognition result is extracted to obtain the portrait-related information of the user.
In one embodiment, the performing face recognition on the face information of the user to obtain a face recognition result includes:
judging whether the face information reaches a preset standard or not;
when the face information reaches a preset standard, carrying out face feature shearing on the face information to obtain a shearing result;
and identifying the cutting result to obtain the face identification result.
In one embodiment, the configuring the cloud engine according to the preset speech model includes:
and loading the preset voice model to a preset engine to obtain the cloud engine.
In one embodiment, the performing broadcast processing according to the identification result includes:
filtering the identification result to obtain a filtered identification result;
and playing the filtered identification result.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (10)
1. A system for improving the effectiveness of online speech recognition, comprising:
the equipment end is connected with the cloud end and used for acquiring portrait related information and recording information of a user and sending the portrait related information and the recording information of the user to the cloud end;
the cloud is used for carrying out model screening according to the portrait related information of the user to obtain a preset language model, and configuring a cloud engine according to the preset voice model;
the cloud is further used for identifying the recording information of the user through the cloud engine to obtain an identification result, and sending the identification result to the equipment end, wherein the identification result is an audio signal;
and the equipment terminal is also used for broadcasting according to the identification result.
2. The system for improving the effect of online speech recognition according to claim 1, wherein the device side comprises:
the acquisition module is connected with the identification module and used for acquiring the face information of the user;
the recognition module is respectively connected with the acquisition module and the extraction module and is used for carrying out face recognition on the face information of the user to obtain a face recognition result;
and the extraction module is used for extracting the face recognition result so as to obtain the portrait related information of the user.
3. The system for improving the effect of online speech recognition of claim 2, wherein the recognition module comprises:
the judging submodule is connected with the shearing submodule and used for judging whether the face information reaches a preset standard or not;
the cutting submodule is respectively connected with the judging submodule and the identifying submodule and is used for cutting the face characteristics of the face information when the face information reaches a preset standard to obtain a cutting result;
and the recognition submodule is used for recognizing the cutting result to obtain the face recognition result.
4. The system of claim 1, wherein the cloud comprises:
and the loading module is used for loading the preset voice model to a preset engine so as to obtain the cloud engine.
5. The system for improving the effect of online speech recognition according to claim 1, wherein the device further comprises:
the filtering module is connected with the playing module and is used for filtering the identification result to obtain a filtered identification result;
and the playing module is used for playing the filtered identification result.
6. A method for improving online voice recognition effect, wherein the method is applied to a system for improving online voice recognition effect, and the method comprises:
acquiring portrait related information and recording information of a user;
performing model screening according to the portrait related information of the user to obtain a preset language model, and configuring a cloud engine according to the preset voice model;
identifying the recording information of the user through the cloud engine to obtain an identification result;
and broadcasting according to the identification result.
7. The method of claim 6, wherein the obtaining of portrait related information of the user comprises:
collecting face information of a user;
carrying out face recognition on the face information of the user to obtain a face recognition result;
and extracting the face recognition result to obtain the portrait related information of the user.
8. The method of claim 7, wherein the performing face recognition on the face information of the user to obtain a face recognition result comprises:
judging whether the face information reaches a preset standard or not;
when the face information reaches a preset standard, carrying out face feature shearing on the face information to obtain a shearing result;
and identifying the cutting result to obtain the face identification result.
9. The method of claim 6, wherein the configuring the cloud engine according to the predetermined speech model comprises:
and loading the preset voice model to a preset engine to obtain the cloud engine.
10. The method for improving the online voice recognition effect according to claim 6, wherein the broadcasting according to the recognition result comprises:
filtering the identification result to obtain a filtered identification result;
and playing the filtered identification result.
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| CN201911411276.8A CN111128194A (en) | 2019-12-31 | 2019-12-31 | System and method for improving online voice recognition effect |
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Cited By (1)
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| WO2023143439A1 (en) * | 2022-01-28 | 2023-08-03 | 达闼机器人股份有限公司 | Speech interaction method, system and apparatus, and device and storage medium |
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