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Prior signal-to-noise ratio estimating method based on MMSE error criterion

A priori signal-to-noise ratio and criterion technology, applied in speech analysis, instruments, etc., can solve problems such as dialogue and communication process interference, hearing fatigue of dialogue listeners, damage to the auditory quality and acoustic characteristics of voice signals, etc.

Active Publication Date: 2016-01-27
SYSU CMU SHUNDE INT JOINT RES INST +1
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Problems solved by technology

The existence of these noises will seriously damage the auditory quality and acoustic characteristics of speech signals, which will seriously interfere with people's dialogue and communication processes and cause hearing fatigue for dialogue listeners.

Method used

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  • Prior signal-to-noise ratio estimating method based on MMSE error criterion
  • Prior signal-to-noise ratio estimating method based on MMSE error criterion
  • Prior signal-to-noise ratio estimating method based on MMSE error criterion

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Embodiment Construction

[0034] The present invention will be further elaborated below in conjunction with the accompanying drawings.

[0035] like figure 1 As shown, the noisy speech signal y t After framing and windowing processing, the noisy speech frame signal y is obtained t (n), noisy speech frame signal y t (n) After discrete Fourier transform, the magnitude spectrum value y of the kth frequency component of the nth frame of the noisy speech is obtained t (n, k), after the amplitude spectrum value is through the operation of the speech enhancement processing module, output the estimated value of the kth frequency unvoiced sound amplitude spectrum of the nth frame Estimated value of the unvoiced amplitude spectrum at the kth frequency of the nth frame After the inverse discrete Fourier transform, the estimated unvoiced frame signal is obtained After the frame signal is processed by window removal and overlap and addition, the estimated unvoiced signal is output

[0036] The specific i...

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Abstract

The invention discloses a prior signal-to-noise ratio estimating method based on an MMSE error criterion and used for voice enhancement, and belongs to the technical field of voice signal processing. Aimed at the prior signal-to-noise ratio estimating problem in the voice enhancement technology, the method comprises the steps of: firstly carrying out preliminary estimation on a prior signal-to-noise ratio of noised voices based on the MMSE error criterion, carrying out Wiener filtering calculation on an obtained prior signal-to-noise ratio estimated value to obtain a first system gain factor, carrying out calculation on the first system gain factor an amplitude spectrum value of the noised voices to obtain a voice power spectrum estimated value, then utilizing the obtained voice power spectrum estimated value and a power spectrum estimated value of noise to carry out estimation once again, and obtaining a final prior signal-to-noise ratio estimated value. The prior signal-to-noise ratio estimated value is substituted into a subsequent voice enhancing step for processing, and de-noised estimated voice clearing signals are obtained. The prior signal-to-noise ratio estimating method based on the MMSE error criterion can effectively inhibit background noise components in estimated cleared voices, and excessive damages to the cleared voice components are avoided, so that the hearing quality of the estimated cleared voices is improved, and the performance of a voice enhancement algorithm is improved.

Description

technical field [0001] The present invention relates to the technical field of speech signal processing, and more specifically, relates to a priori signal-to-noise ratio estimation method based on MMSE error criterion. Background technique [0002] In real life, people are inevitably disturbed by various background noises in the process of voice conversation and voice communication, such as noise in airports, restaurants and streets, engine noise in high-speed cars, etc. . The existence of these noises will seriously damage the auditory quality and acoustic characteristics of speech signals, which will seriously interfere with people's dialogue and communication process and cause auditory fatigue for dialogue listeners. Therefore, how to use smart devices such as computers to remove background noise in the voice communication process in real life has always been a hot topic of research by scholars at home and abroad. [0003] Speech enhancement technology is an indispensab...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G10L21/0232
Inventor 李宇林胜义谭洪舟农革
Owner SYSU CMU SHUNDE INT JOINT RES INST
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