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Improved GSC self-adaptive speech enhancement method

A speech enhancement and self-adaptive technology, applied in the field of signal processing, can solve the problems of difficult to eliminate, harsh "music" noise, etc., achieve the effect of small calculation, filter out noise interference signal, and reduce the effect of target signal cancellation

Inactive Publication Date: 2015-08-12
NANJING UNIV OF INFORMATION SCI & TECH
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Problems solved by technology

As a commonly used speech enhancement method, spectral subtraction is very popular in single-channel speech enhancement because of its simplicity, convenience, and small amount of calculation, but it will produce harsh "music" noise after processing, and it is relatively difficult eliminate

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  • Improved GSC self-adaptive speech enhancement method
  • Improved GSC self-adaptive speech enhancement method
  • Improved GSC self-adaptive speech enhancement method

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Embodiment Construction

[0043] In order to make the purpose, technical solution and advantages of the present invention clearer, the present invention will be further clarified below in conjunction with the accompanying drawings and specific embodiments. A kind of improved GSC self-adaptive speech enhancement method provided by the present invention, such as figure 1 Shown, specifically include the following steps:

[0044] Step 1: Perform delay estimation and compensation for the noisy speech signal X(t)=A(θ)S(t)+N(t) received by the microphone array, so that the signals in each microphone channel are consistent in time of, figure 1 x in 1 ,x 2 ,x 3 ,....x n is the aligned noisy speech signal, where θ is the direction of arrival of the target signal, A(θ) is the array flow pattern of the target signal, S(t) is the target speech signal, and N(t) is the directional interference noise or random noise;

[0045] Step 2: At this time, X(t) is processed separately by the upper and lower branches, an...

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Abstract

The invention relates to an improved GSC self-adaptive speech enhancement method. An improved GSC self-adaptive speech enhancement system is used, a weight coefficient of a post filter is estimated based on the signal received by a microphone, incoherent noises in the signal are removed by using the post wiener filter, a self-adaptive blocking matrix is used for replacing a fixed blocking matrix in a conventional GSC structure so as to better block target signals and reduce cancellation of the target signals, the iterative mode of a self-adaptive algorithm is improved, the convergence rate and steady-state misadjustment signals and filter noise interference signals are balanced, and based on the characteristics of easy noise removal, small amount of calculation and the like of a spectral subtraction method, the possible residual noise signals can be further removed by using an improved spectral subtraction method. According to the invention, the method is capable of self-adaptive speech enhancement of signals at any angle and has a certain robustness for speech signal enhancement under a random environment, and the subsequent spectral subtraction method can be used for further removing the residual noises and improving the denoising capability of the entire system.

Description

technical field [0001] The invention belongs to the field of signal processing, in particular to array signal processing, adaptive filtering and speech enhancement. technical background [0002] Speech is an important carrier of human information dissemination and emotional communication, and it is also the most important, most effective and most convenient way for human information communication. In actual voice communication, voice is always inevitably interfered by external environmental noise, including noise introduced by the transmission medium, electrical noise inside communication equipment, and even interference from other speakers. These interferences make the voice signal received by the microphone not a pure original voice signal, but a noisy voice signal polluted by noise, which leads to a sharp deterioration in the performance of many voice processing systems. Therefore, in order to obtain the original speech signal as pure as possible from the noisy speech si...

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Application Information

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IPC IPC(8): G10L21/0208
Inventor 赵益波徐进孙心宇
Owner NANJING UNIV OF INFORMATION SCI & TECH
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