Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method and device for speech recognition

A speech recognition and speech recognition model technology, applied in speech recognition, speech analysis, instruments, etc., can solve problems such as poor support for user-level speech recognition, inflexible optimization models, and low support for language habits, etc., to achieve solution support Poor, improve user experience, avoid the effect of cold start

Active Publication Date: 2022-03-01
杭州蓦然认知科技有限公司
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the current speech recognition model is rarely trained for user-level models, and the way to optimize the model is not flexible enough. The support for user-level language habits is very low, which seriously affects the user experience.
[0003] How to quickly accumulate user-level corpus, quickly build a user-level language model, solve the problem of poor support for user-level speech recognition, avoid cold starts caused by too few user sentences, and provide better user-level speech recognition has become an urgent problem to be solved

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
  • Method and device for speech recognition
  • Method and device for speech recognition
  • Method and device for speech recognition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0019] In order to make the object, technical solution and advantages of the present invention clearer, the implementation manner of the present invention will be further described in detail below in conjunction with the accompanying drawings. The embodiments of the present invention and the specific features of the embodiments are detailed descriptions of the technical solutions of the embodiments of the present invention, rather than limitations on the technical solutions of the description of the present invention. In the case of no conflict, the embodiments of the present invention and the technical features of the embodiments can be combined with each other.

[0020] The voice recognition method of the present invention can be applied to any device or equipment, such as cloud server, mobile terminal, smart home equipment, etc., and can be used in any application that needs voice recognition, such as input methods that support voice input, voice assistants Wait.

[0021] ...

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 present invention discloses a method and device for speech recognition. The method includes: step 101, acquiring the speech recognition models of multiple users; step 102, performing statistics on the speech recognition models of the multiple users, and determining that the similarity is greater than N user sets equal to the first threshold, where N is an integer greater than or equal to; step 103, perform corpus training on the speech recognition models of the i-th user set to generate the i-th user set speech recognition model, 1≤i≤N. Through the method of the present invention, the commonality of similar users can be used to quickly accumulate user-level corpus, quickly build a user-level language model, solve the problem of poor support for user-level speech recognition, and avoid cold starts caused by too few user sentences, providing Better user-level speech recognition effect improves user experience.

Description

technical field [0001] Embodiments of the present invention relate to the field of voice interaction, and in particular, to a voice recognition method and device. Background technique [0002] In recent years, with the development of speech recognition technology, speech recognition technology has entered various fields such as industry, home appliances, communications, automotive electronics, medical care, home services, and consumer electronics. interact. The speech recognition method is mainly a matching algorithm. In the training stage, the speech recognition model is constructed by continuously accumulating corpus and storing it as a template in the template library. In the recognition stage, the feature vector of the input speech is sequentially compared with the template library. The similarity of each corpus template is compared, and the one with the highest similarity is output as the recognition result. Most of the existing speech recognition technologies only fo...

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 Patents(China)
IPC IPC(8): G10L15/06G10L15/26
CPCG10L15/063G10L15/26
Inventor 袁志伟鞠向宇赵晓朝戴帅湘
Owner 杭州蓦然认知科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products