Method and apparatus for resisting noise based on adaptive nonlinear spectral subtraction

A non-linear and adaptive technology, applied in speech analysis, speech recognition, instruments, etc., can solve the problems of the decline of the recognition rate and the impact of the recognition rate of the speech recognition system.

Active Publication Date: 2006-10-04
PANASONIC CORP
View PDF0 Cites 27 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although the application of these speech technologies in the laboratory environment can achieve good results, in real life, noise has a huge impact on the recognition rate of these speech recognition systems
Slight noise may cause the recognition rate to drop by about 30%

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 apparatus for resisting noise based on adaptive nonlinear spectral subtraction
  • Method and apparatus for resisting noise based on adaptive nonlinear spectral subtraction
  • Method and apparatus for resisting noise based on adaptive nonlinear spectral subtraction

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0043] Embodiments of the present invention will be described in detail below with reference to the accompanying drawings, and unnecessary details and functions for the present invention will be omitted during the description to prevent confusion in the understanding of the present invention.

[0044] The invention proposes a method and device for eliminating noise based on adaptive nonlinear spectral subtraction.

[0045] According to the present invention, the possible background noise range is determined by using the minimum energy noise tracking method considering historical information. Specifically, in some specific application environments, the noise is relatively stable. How to accurately estimate the background noise is the premise of speech detection. The usual noise estimation method uses the silence between speech gaps to estimate noise, but in an environment with a relatively low signal-to-noise ratio, it is easy to estimate speech with relatively low energy as n...

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 disclosed speech recognition anti-noise method based on adaptive nonlinear spectrum reduction comprises: detecting speech, if average SNR over set threshold, recognizing as speech information, or else as noise information; updating current noise estimation according to noise frame in last step for the first spectrum reduction calculation to obtain the speech with high SNR; then, taking the second calculation to further eliminate noise.

Description

technical field [0001] The present invention relates to a speech recognition method and device based on adaptive nonlinear spectral subtraction, in particular to a speech recognition method and device suitable for small embedded mobile devices with a small amount of calculation, which can improve the performance of the speech recognition system in a noisy environment Recognition rate. Background technique [0002] In recent years, the development of speech recognition technology has gradually matured and began to develop into actual product applications. The application of products based on voice recognition technology is constantly increasing, and mobile phones, car navigation and smart furniture that use voice recognition technology for voice remote control are constantly emerging. Although the application of these speech technologies in the laboratory environment can achieve good results, noise has a huge impact on the recognition rate of these speech recognition systems...

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): G10L21/02G10L15/20G10L15/00G10L21/0216
Inventor 贾磊马龙
Owner PANASONIC CORP
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