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Speech denoising device and method based on wavelet transform

A technology of wavelet transform and speech denoising, which is applied in speech analysis, instruments, etc., can solve the problem of wavelet denoising threshold selection, etc., and achieve the effect of restoring the original speech signal

Inactive Publication Date: 2013-03-20
张雪晶
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Problems solved by technology

[0005] However, there are still two key issues to be dealt with in the speech denoising of wavelet transform in the prior art: one is how to select a suitable wavelet base and the number of decomposition layers of wavelet; the other is the selection of threshold in wavelet denoising

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  • Speech denoising device and method based on wavelet transform
  • Speech denoising device and method based on wavelet transform

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Embodiment Construction

[0017] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0018] like figure 1 As shown, a voice denoising device based on wavelet transform includes a voice acquisition device 1 , a preprocessing device 2 , a wavelet transform device 3 and a signal output device 4 which are connected in sequence.

[0019] like figure 2 As shown, the working method adopted by the wavelet transform device 3 in the above device is mainly divided into the following steps:

[0020] Step 1: Perform wavelet transform on the noisy wavelet to obtain the wavelet coefficients on each scale;

[0021] Step 2: Perform soft or hard threshold function processing on the wavelet coefficients of each scale to obtain the estimated value of the original signal wavelet coefficients;

[0022] Step 3: Using the processed wavelet coefficients to obtain a denoised signal through inverse wavelet transform.

[0023] Although the specific embodiments ...

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Abstract

The invention discloses a speech denoising device and a method based on wavelet transform; the device comprises a speech acquiring device, a pre-processing device, a wavelet transform device and a signal output device. The working method mainly comprises the following steps: step 1, performing the wavelet transform on wavelets with noise to obtain wavelet coefficients on various scales; step 2, performing soft or hard threshold function processing on the wavelet coefficients in various scales to obtain estimated values of wavelet coefficients of original signals; and step 3, obtaining denoised signals by the processed wavelet coefficients through wavelet inverse transform. The device and the method have the benefits that the wavelet analysis can analyze outlines of the signals, and can analyze details of the signals, so that the noise is effectively restrained; the loss of speech section information is reduced, and important significance is brought to future research on speech denoising algorithm; and the speech noise can be effectively removed so as to achieve the purpose of recovering the original speech signals.

Description

technical field [0001] The present invention relates to a speech denoising device and method based on wavelet transform. Background technique [0002] People will inevitably be interfered by the outside world in the process of voice communication. Voice denoising is an effective means to solve this problem. One of its important purposes is to extract the purest possible original voice signal from the noisy voice signal. . [0003] In the prior art, Lira and Oppenheim proposed the Wiener filtering method for speech enhancement in 1978, Boll proposed the spectral subtraction method to suppress noise in 1979, Maulay and Malpass proposed the soft-decision noise suppression method in 1980, and Ephaim et al. A minimum mean square error (MMSE) estimation method for the short-term spectral amplitude (SATA) of speech. After the 1990s, the minimum mean square error estimation method of short-term spectral amplitude continued to be improved. At the same time, Ephaim et al. propos...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G10L21/0208
Inventor 张雪晶
Owner 张雪晶
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