Wavelet transform and variable-step least mean square algorithm-based voice denoising method

A technology of wavelet transform and variable step size, which is applied in speech analysis, instruments, etc., can solve problems such as low calculation efficiency, slow convergence speed, and fast convergence speed, and achieve the goals of improving calculation efficiency, reducing dispersion degree, and fast convergence speed Effect
CN101894561AActive Publication Date: 2010-11-24NORTHWESTERN POLYTECHNICAL UNIV
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
NORTHWESTERN POLYTECHNICAL UNIV
Publication Date
2010-11-24

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Abstract

The invention relates to a wavelet transform and variable-step least mean square algorithm-based voice denoising method. The method is technically characterized by comprising the following steps of: reducing the dispersion degree of an input vector self-correlation matrix characteristic value of an adaptive filter by using a time-frequency local characteristic of a wavelet, and increasing step factors of the algorithm; and simultaneously, establishing a non-linear function relationship between the step factors and an error signal to ensure that the step factors are adaptively increased at the initial stage and the time change stage and are adaptively decreased at the steady state stage. The method not only can ensure a relatively high convergence speed and little maladjustment but also has certain robustness and denoising performance, so a better denoising effect can be obtained by combining the wavelet transform and the variable-step least mean square algorithm.
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Description

Technical field

[0001] The invention relates to a speech noise reduction method based on wavelet transform and a variable step size minimum mean square algorithm, which can be applied to various speech signal noise reduction processing systems. Background technique

[0002] In the process of voice communication, it will inevitably be interfered by noise introduced from the surrounding environment and transmission media, electrical noise inside the communication device, and even other speakers. These interferences ultimately make the voice received by the listener no longer the original pure voice signal, but the noise-contaminated voice signal. As an effective means of controlling low-frequency noise, adaptive voice active noise reduction technology has been greatly developed in recent years.

[0003] The adaptive noise cancellation system is a typical application of adaptive voice active noise reduction technology. It is an adaptive filter with two inputs: the adaptive filter run...

Claims

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