Method for realizing noise reduction processing on speech signal by using digital noise reduction algorithm

A technology for voice signal and noise reduction processing, applied in voice analysis, instruments, etc., can solve the problem that the processing effect of noisy voice is not obvious, and achieve the effect of obvious noise reduction effect.

Inactive Publication Date: 2013-02-27
UNIV OF SHANGHAI FOR SCI & TECH
View PDF4 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention aims at the problem that simply using a certain algorithm to process noisy speech in the full frequency band has no obvious effect, and proposes a method of using a digital noise reduction algorithm to realize a noise reduction processing method for speech signals, a subspace noise reduction algorithm Combined with the adaptive LMS algorithm to filter the noise

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 realizing noise reduction processing on speech signal by using digital noise reduction algorithm
  • Method for realizing noise reduction processing on speech signal by using digital noise reduction algorithm
  • Method for realizing noise reduction processing on speech signal by using digital noise reduction algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment approach

[0038] Step A Subspace method processing (time-domain constraints), each frame of speech is processed in the following six steps:

[0039] 1) Calculate the covariance R of the noise signal n , use the formula (1) to estimate the matrix , R n It is estimated by independently sampling speech in each frame;

[0040] 2 pairs Perform an eigenvalue decomposition: ; The left and right expressions are respectively the eigenvalue matrix and eigenvector matrix of the estimated matrix;

[0041] 3) Hypothesis The eigenvalues ​​of are arranged in descending order, and the space size of the speech signal subspace is estimated by the following formula:

[0042]

[0043] 4) Calculate the μ value by formula (3);

[0044] 5) The linear estimated value is calculated by the following formula:

[0045]

[0046]

[0047]

[0048] 6) pass To estimate the enhanced speech signal, signal estimation = optimal solution * noisy speech signal.

[0049] LMS algorithm enhancement...

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 relates to a method for realizing noise reduction processing on a speech signal by using a digital noise reduction algorithm. The method comprises the following steps of: firstly, processing a signal with noise by using a subspace method so as to obtain a relatively pure processed signal; and subsequently inputting a self-adaptive filter to eliminate speech noise by using an LMS (least mean square) algorithm. According to the method, a subspace noise reduction algorithm and the self-adaptive LMS algorithm are combined and utilized so as to filter the noise; and the subspace can suppress the noise relevance well but can not work well in an area with a high signal to noise ratio, and the defect of the subspace can be made up by using the self-adaptive LMS algorithm, so that a good noise reduction effect can be achieved with the combination of the subspace noise reduction algorithm and the self-adaptive LMS algorithm.

Description

technical field [0001] The invention relates to a noise processing method, in particular to a noise reduction processing method for voice signals by using a digital noise reduction algorithm. Background technique [0002] With the continuous development and improvement of digital signal processing theory and applied electronic technology, voice electronic noise reduction systems have been used more and more in people's lives. Extracting pure signals under high-noise backgrounds is an important research and application field. popular subject. From the early use of analog devices to build filter circuits to solve noise problems to the modern use of DSP programming to load noise reduction algorithms, it reduces the difficulty of implementation and improves the implementation effect. [0003] Speech noise reduction algorithms are also developed from scratch, and the most far-reaching ones are spectral subtraction proposed by Steven.F.Boll and speech noise reduction algorithm of...

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): G10L21/0208
Inventor 佟国香谭健吕芳芳
Owner UNIV OF SHANGHAI FOR SCI & TECH
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