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

A wavelet transform and variable step size technology, applied in speech analysis, instruments, etc., can solve the problems of slow convergence speed, low calculation efficiency, fast convergence speed, etc., to reduce the degree of dispersion, improve calculation efficiency, and fast convergence speed. Effect
CN101894561BActive Publication Date: 2015-04-08NORTHWESTERN POLYTECHNICAL UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
NORTHWESTERN POLYTECHNICAL UNIV
Publication Date
2015-04-08

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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 variable step size least 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 is inevitable to be interfered by the noise introduced from the surrounding environment and transmission media, the electrical noise inside the communication equipment, and even other speakers. These interferences eventually make the speech received by the listener no longer the original pure speech signal, but a noisy speech signal polluted by noise. As an effective means to control low-frequency noise, adaptive speech active noise reduction technology has been greatly developed in recent years.

[0003] Adaptive noise cancellation system is a typical application of adaptive speech active noise reduction technology, it is an adaptive filter with two inputs: the adap...

Claims

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