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

Method for detecting and correcting error on text after voice recognition

A speech recognition and text technology, applied in speech recognition, speech analysis, special data processing applications, etc., can solve the problems of low speech recognition rate, affecting the normal communication between humans and machines, and achieve free communication and improve speech recognition. rate effect

Active Publication Date: 2010-10-13
BEIJING UNIV OF POSTS & TELECOMM
View PDF0 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there are often many errors in the text after the existing speech recognition, that is, the speech recognition rate is not very high, which affects the normal communication between humans and machines. Therefore, improving the speech recognition rate has become a key issue in speech recognition technology. top priority

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 for detecting and correcting error on text after voice recognition
  • Method for detecting and correcting error on text after voice recognition
  • Method for detecting and correcting error on text after voice recognition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0024] In order to solve the problems existing in the prior art, the present invention proposes a method for error detection and error correction of the text after speech recognition, that is, to detect and correct the text after speech recognition based on examples: determine the text in each text sentence An anchor word, extracting the instance of the determined anchor word, and performing error detection and error correction on the text sentence according to the extracted example, because the second grammatical knowledge base and the second semantic knowledge base adopted in the method and the second contextual knowledge base are both created for the domain of the text sentences in the text after the speech recognition, and the anchor words are obtained through the above-mentioned created domain-specific second grammar knowledge base and second semantic knowledge base, That is to say, the obtained anchor words are under the specific field, and the examples are obtained throu...

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 method for detecting and correcting error on the text after voice recognition, for the purpose of orderly detecting and correcting the sentence errors on the text after voice recognition. The method comprises the steps of respectively creating a second syntactic knowledge base, a second semantic knowledge base and a second contextual knowledge base belonging to the fieldof the sentence on the text after voice recognition, locating heavy duty words on the text according to the second syntactic knowledge base and the second semantic knowledge base, extracting an example of the located heavy duty words based on the second contextual knowledge base, detecting the errors in the sentence based on a first semantic knowledge base and the extracted example and correctingthe wrong words which are detected based on the first semantic knowledge base and the extracted example. The method of the invention can exactly detect and correct the errors on the text after voice recognition to promote the efficiency of voice recognition and realize the free man-machine communication.

Description

technical field [0001] The invention relates to the technical field of natural language processing, in particular to a method for detecting and correcting errors in text after speech recognition. Background technique [0002] Speech recognition technology is a technology that allows machines to convert human language into corresponding text through recognition and understanding. Its ultimate goal is to allow machines to "understand" human language and realize free communication between humans and machines. However, there are often many errors in the text after the existing speech recognition, that is, the speech recognition rate is not very high, which affects the normal communication between humans and machines. Therefore, improving the speech recognition rate has become a key issue in speech recognition technology. It is imperative. [0003] In order to improve the speech recognition rate, it is necessary to detect and correct errors in the text after speech recognition. ...

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): G06F17/27G06F17/30G10L15/00
Inventor 李蕾龙丽霞王兴建王骏
Owner BEIJING UNIV OF POSTS & TELECOMM
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com