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Method used for detecting and suppressing transient noise

A transient noise and transient suppression technology, applied in the field of acoustic signal processing, can solve problems such as poor transient noise suppression effect, inability to apply transient noise, acoustic signal distortion, etc., to avoid harmonic distortion, good suppression effect, The effect of reducing distortion

Active Publication Date: 2014-11-19
SHANGHAI ADVANCED RES INST CHINESE ACADEMY OF SCI +1
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Problems solved by technology

[0003] The existing methods all use the transient noise suppression method based on supervised learning, which needs to learn the characteristics of transient noise through online or offline supervision to realize the detection of transient noise and finally achieve transient noise suppression, so it cannot achieve real-time performance, nor can it It cannot be applied to all types of transient noise, and the suppression effect on transient noise is poor, resulting in serious distortion of the acoustic signal, which cannot be applied to real-time voice communication systems, and this method is not universally applicable

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  • Method used for detecting and suppressing transient noise

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[0081] The embodiments of the present invention will be described in further detail below in conjunction with the accompanying drawings, but the present embodiments are not intended to limit the present invention, and any similar structures and similar changes of the present invention should be included in the protection scope of the present invention.

[0082] Such as Figure 1-Figure 5 As shown, a method for detecting and suppressing transient noise provided by an embodiment of the present invention is characterized in that the specific steps are as follows:

[0083] 1) Use a single microphone or multiple microphones to pick up the acoustic signal, and the acoustic signal model formula is:

[0084] x i (n)=s i (n)+d s,i (n)+d t,i (n);

[0085] Among them, 1≤i≤M, M is the number of microphones, x i (n) is the acoustic signal picked up by the i-th microphone, s i (n) is the target voice signal (such as the voice of people speaking) in the acoustic signal picked up by th...

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Abstract

The invention discloses a method used for detecting and suppressing transient noise and relates to the technical field of acoustic signal processing. The method used for detecting and suppressing transient noise solves the technical problems that an existing method is poor in real time performance and poor in suppression effect on transient noise. According to the method, acoustic signals are picked up through a microphone first and then preprocessed, residual steady noise is neglected, preprocessed acoustic signals x(n) are obtained, the short-time spectrum of each frame of x(n) is calculated through fast Fourier transform, transient noise detection is performed on x(n) with a transient noise detection method based on high sampling or auto-spectrum coherence, robust suppression is performed on the transient noise with a protection method based on voice harmonic waves and voice and voice frequency and time frequency continuity, the final transient noise suppression gain of each frame is calculated, and finally all the frames are reconstructed through time domain overlap-add. The method is suitable for voice and acoustic signals and can be applied to both a real-time voice and voice frequency communication system and non-real-time voice and voice frequency signal enhancement.

Description

technical field [0001] The invention relates to an acoustic signal processing technology, in particular to a method for detecting and suppressing transient noise. Background technique [0002] At present, most of the single-channel speech enhancement methods assume the stationary characteristics of the noise, that is, the noise is more stable than the speech signal, and the stationary noise can be estimated by the noise estimation method, and finally the stationary noise is suppressed. Multi-channel speech enhancement methods all utilize the spatial separation of target speech and interference noise, and perform spatial filtering through beamforming and other means to achieve stationary and non-stationary noise suppression. [0003] The existing methods all use the transient noise suppression method based on supervised learning, which needs to learn the characteristics of transient noise through online or offline supervision to realize the detection of transient noise and fi...

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Application Information

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IPC IPC(8): G10L21/0208
Inventor 郑成诗厉剑彭仁华李晓东
Owner SHANGHAI ADVANCED RES INST CHINESE ACADEMY OF SCI
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