Wiener filtering speech enhancement method for multi-taper spectrum estimation of pickup

Abstract

The invention provides a Wiener filtering speech enhancement method for multi-taper spectrum estimation of a pickup. The Wiener filtering speech enhancement method is characterized by including: performing multi-taper spectrum estimation on a noisy speech, and removing noise items through a wavelet threshold value to obtain speech spectra which are approximately pure; comparing the speech spectra with a speech spectrum processed through Wiener filtering, and selecting corresponding spectra as finally enhanced speech spectra according to different distortion types. When the method is applied in the pickup, compared with existing mean square forecast error and pre-whitening subspace methods, the method is smoother in speech and closer to pure speech; in circumstances with low signal-to-noise ratio and complex noise, the pickup is higher in speech processing speed, higher in coding and decoding efficiency, better in denoising performance and higher in robustness. In addition, in environments with long distance, the pickup has good speech recognition effect.

Description

technical field [0001] The invention relates to a speech enhancement method applied to a sound pickup, in particular to a wavelet threshold and a Wiener filter speech enhancement method, and belongs to the field of speech enhancement in speech signal processing. Background technique [0002] Speech enhancement is a key step in speech coding, but when applied to a pickup, the speech is easily polluted by noise, resulting in a degradation of speech quality. Therefore, when the speech signal is interfered by different noises, it is an important issue in the application of the pickup to suppress the background noise in a low SNR environment without affecting the intelligibility of the original speech signal as much as possible. [0003] In order to suppress noise in speech, scholars have proposed some speech enhancement methods. The existing spectral subtraction method is commonly used to obtain the power spectrum of the enhanced speech by subtracting the noise power spectrum f...

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Problems solved by technology

[0005] The purpose of the present invention is: in order to solve the problem that the voice signal is easily polluted and the quality of the voice signal declines under the low signal-to-noise ratio and complex background noise of the pickup, a Wiener filter for multi-window spectrum estimation of the pickup is proposed Speech Enhancement Method

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