Voice recognition method based on user behavior characteristics

A speech recognition and user technology, applied in speech recognition, speech analysis, instruments, etc., can solve the problems of lowering the reliability of speech recognition and lowering the accuracy of speech recognition, so as to ensure the accuracy, optimize the speech model, and improve the reliability. Effect

Inactive Publication Date: 2017-01-11
安徽咪鼠科技有限公司
View PDF13 Cites 20 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, because each user expresses the same thing in different ways and words, and the voices of different users also have certain differences. Therefore, using the existing speech model for speech recognition will lead to some users' speech Recognition accuracy is reduced, which leads to a reduction in the reliability of speech recognition

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Voice recognition method based on user behavior characteristics

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0026] Such as figure 1 As shown, the present invention provides a speech recognition method based on user behavior characteristics, by collecting and analyzing user behavior data, further optimizing the speech model, and realizing the self-learning function, including the following steps:

[0027] Step S1, first, the speech recognition terminal uses a speech collection device to collect user audio data, and uploads it to the online speech recognition server; where...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a voice recognition method based on user behavior characteristics. Firstly user voice data are acquired by a voice recognition terminal and transmitted to a server to be processed and analyzed; the behavior habits and the sound characteristics of users are analyzed through combination of information of the users; the rules of grammar and the command word library further meeting the behavior habits of the user are generated according to different behavior habits of each user; a sound characteristic model is generated according to the sound characteristics of each user; and the rules of grammar, the command word library and the sound characteristic models of the voice recognition terminal are adjusted and updated so that the voice models are further optimized, the self-learning function is realized, each user is enabled to have more customized experience meeting his own behavior habits, the accuracy of voice recognition can be guaranteed and the reliability of voice recognition can be enhanced.

Description

technical field [0001] The invention belongs to the technical field of voice recognition, and relates to a voice recognition method, in particular to a voice recognition method based on user behavior characteristics. Background technique [0002] With the development of communication technology, the terminal integrates more and more functions, so that the system function list of the terminal includes more and more corresponding applications, for example, applications installed in the computer, third-party smart phones Installed applications (App l i cat ion, APP) and the like. Some applications involve some voice recognition services, for example, voice input in instant messaging software such as QQ and WeChat, and voice input in Baidu Maps. In the prior art, the speech processing engine can use the received speech data as an input to run a speech model to obtain a recognition result. [0003] However, because each user expresses the same thing in different ways and words,...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G10L15/07G10L15/30
CPCG10L15/07G10L15/30
Inventor 冯海洪毛德平
Owner 安徽咪鼠科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products