Method for enhancing voice based on signal to noise ratio soft masking

A technology of speech enhancement and signal-to-noise ratio, used in speech analysis, instruments, etc.

Inactive Publication Date: 2014-02-19
HUNAN INT ECONOMICS UNIV
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Problems solved by technology

The key scientific problem to be solved: realize the enhancement of noise-containing speech, improve the signal-to-noise rati

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  • Method for enhancing voice based on signal to noise ratio soft masking
  • Method for enhancing voice based on signal to noise ratio soft masking
  • Method for enhancing voice based on signal to noise ratio soft masking

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Embodiment Construction

[0066] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0067] The core content of the present invention is: realized Noise Power Spectrum Update of Time-varying Coefficients in Subbands ; The principle of SNR soft masking is proposed; the correlation between adjacent frames is fully utilized to extract information, and a priori SNR smooth iterative estimation method is realized to achieve the purpose of speech enhancement.

[0068] Such as figure 1 as shown, figure 1 A flow chart of a speech enhancement method based on SNR soft masking provided by the present invention, the method includes the following steps:

[0069] Step 101: Parameter initialization: the noise-containing speech signal is divided into frames, the frame length N=[0.25fs] points, fs is the signal sampli...

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Abstract

The invention discloses a method for enhancing voice based on signal to noise ratio soft masking. The method comprises: establishing noise power spectrum updates of a sub-band time varying coefficient, using different threshold update smooth spectrums for different frequency points, enhancing voice and restraining noise; determining a posterior signal to noise ratio from a noise power spectrum, performing iterative computation to obtain a prior signal to noise ratio of a present frame according to the posterior signal to noise ratio and the prior signal to noise ratio of a previous frame, and obtaining that each frequency point is in a masking region or in a target signal region according to values of the prior signal to noise ratio. A masking value is calculated by probability distribution obtained by hypothesis testing. The method uses correlation of adjacent frames to extract information to realize enhancement of voice spectrum smooth iteration estimation. For non-stationary noise and strong background noise, a voice enhancement algorithm based on signal to noise ratio soft masking is provided. A rapid tracking noise algorithm performs smooth update on the non-stationary noise frame by frame, preferably estimating a noise spectrum. The algorithm can effectively restrain background noise and improve voice quality and speech intelligibility after denoising.

Description

Technical field [0001] The present invention belongs to the field of voice signal processing technology, especially a method of signaling the voice -to -voice enhancement method based on a signal -to -noise ratio. Background technique [0002] Voice is the basic means of human communication; various social activities and behaviors of human beings have brought many new problems to voice signal research. At the same time, the development of voice processing technology changes the daily life of human beings at all times; for example, voice coding technologyThe emergence allows people to listen to the sound of distant voices in limited communication bandwidth resources. Recently, the development of broadband voice coding has made our words more natural and understandable in our communication, reducing or reducing misunderstandings in communication;The breakthrough of the continuous voice recognition problem in the vocabulary volume has led people to have a new voice input method and ...

Claims

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Application Information

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IPC IPC(8): G10L21/0232
Inventor 王景芳
Owner HUNAN INT ECONOMICS UNIV
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