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Microphone array multi-target voice enhancement method based on blind source separation and spectral subtraction

A technology of microphone array and blind source separation, which is applied in voice analysis, instruments, etc., can solve the problems that cannot meet the practical application and limit the effective sound pickup effect of the array pickup device, so as to improve the voice quality, improve the voice intelligibility, easily identifiable effects

Inactive Publication Date: 2017-03-15
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

[0041] At present, the speech enhancement based on the microphone array is performed on a single target, which limits the effective sound pickup effect of the array pickup device, and the traditional single-target enhancement cannot meet the needs of practical applications

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  • Microphone array multi-target voice enhancement method based on blind source separation and spectral subtraction
  • Microphone array multi-target voice enhancement method based on blind source separation and spectral subtraction
  • Microphone array multi-target voice enhancement method based on blind source separation and spectral subtraction

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Embodiment Construction

[0059]In order to make the purpose, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the implementation methods and accompanying drawings.

[0060] see figure 2 , the multi-objective speech enhancement method of the present invention, at first carry out signal preprocessing to each single-channel signal (speech signal) that the microphone array of two-dimensional area array collects, the speech signal of single-channel is divided into a lot of short-time speech segments, obtains frame signal for subsequent speech activation detection and spectral subtraction processing. The signal preprocessing includes band-pass filtering, pre-emphasis processing, overlapping framing, and Hamming window processing.

[0061] Perform speech activation detection and spectral subtraction processing on the single-channel frame signals, and then perform blind source separation on all channels of...

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Abstract

The invention discloses a microphone array multi-target voice enhancement method based on blind source separation and spectral subtraction. The method comprises: a multi-channel multi-target signals are collected through a microphone array; band-pass filter processing is carried out on the collected single-channel signals respectively to shield non-voice noises and interference, and pre-emphasis processing is carried out; voice windowing and framing processing is carried out to obtain frame signals, short-time Fourier transform is carried out to transform all frames into a frequency domain, and amplitude spectrums and phase spectrums of all frames are extracted; a starting end point and an ending end point of a voice signal are detected and a noise power spectrum is estimated; on the basis of spectral subtraction, background noises of a voice frame are reduced; the signal outputted after spectral subtraction is combined with the phase spectrum to carry out short-time Fourier inverse transform, thereby obtaining a voice signal of a time domain; and then blind source separation is carried out to obtain all target signals. The method can be realized simply; the resource requirement is low; the computing complexity is low; and multi-target signal enhancement can be realized.

Description

technical field [0001] The invention belongs to the technical fields of signal processing technology and computer voice signal processing, and in particular relates to a voice enhancement method based on an array microphone. Background technique [0002] The goal of speech enhancement is to extract the original speech as pure as possible from the noisy speech signal, suppress background noise, improve the quality of speech and improve the comfort of the listener so that the listener will not feel tired. It is playing an increasingly important role in solving noise pollution, improving speech quality, and improving speech intelligibility. Speech enhancement technology is a problem that needs to be solved urgently after the speech signal processing develops to the practical stage. Anti-noise interference in speech recognition is an important link to improve the recognition rate. With the continuous expansion of speech recognition applications and entering the practical stage...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G10L21/0216G10L21/0232
Inventor 于鸿洋
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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