Improved GSC self-adaptive speech enhancement method

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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