Wavelet speech denoising method based on new threshold function

Abstract

The invention discloses a wavelet speech denoising method based on a new threshold function. The method mainly comprises steps: 1) noisy speech is generated; 2) wavelet decomposition is carried out on the noisy speech; 3) wavelet threshold processing is carried out on the noisy speech; 4) wavelet reconstruction is carried out on speech after processing; and 5) speech signals after denoising are obtained. The method focuses on processing in the step 3), and the step 3) directly determines denoising effects. In the step 3), a wavelet coefficient after wavelet decomposition on the noisy speech is subjected to threshold processing, which mainly involves threshold determination and threshold function selection. As the new threshold function is adopted, the problems that signals after processing generate oscillation as the traditional hard threshold function is discontinuous and great distortion happens after signals are processed by a soft threshold function can be solved. The new threshold function can better suppress noise, the signal-to-noise ratio of speech signals is improved, speech distortion is reduced, and better denoising effects are obtained.

Description

technical field [0001] The invention relates to the technical field of speech signal enhancement, in particular to a speech denoising method based on new threshold function wavelet threshold processing. Background technique [0002] At present, with the rapid development of information technology, speech signal processing, as a key technology of information technology, has gradually become an international hot research topic. Speech signal processing mainly includes speech coding, speech synthesis, speech recognition and speech enhancement. Speech enhancement is an important part of speech signal processing. After decades of development, many classic algorithms have emerged, which have attracted the attention and research of many researchers. [0003] The main purpose of speech enhancement is to remove the noise signal in the noisy speech while retaining the useful speech signal, so as to improve the intelligibility and overall quality of the speech signal. Traditional den...

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Problems solved by technology

[0006] The purpose of the present invention is to solve the problem that the discontinuity of the hard threshold function in the traditional wavelet threshold denoising method causes the signal to oscillate after processing, and the signal is distorted after the soft threshold function processes the signal, and proposes a wavelet speech denoising based on a new threshold function method, the new threshold function denoising method of this method can smooth the speech signal, strengthen the protection of speech components, thereby reducing distortion

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