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A wind noise detection and suppression method and apparatus suitable for speech and audio

A detection method and wind noise technology, applied in speech analysis, instruments, etc., can solve problems such as large amount of calculation, difficult to guarantee real-time performance, and no obvious directionality, so as to achieve wind noise, ensure voice quality and audio quality, avoid Effects of speech and audio distortion

Active Publication Date: 2019-01-15
北京声加科技有限公司
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Problems solved by technology

[0003] Wind noise is a strong non-stationary noise. At the same time, wind noise is not a point sound source and has no obvious directionality. Therefore, it is impossible to achieve effective wind noise by using traditional single-channel speech enhancement methods or multi-channel speech enhancement methods such as spatial filtering. detection and suppression
In recent years, some scholars have also proposed to use deep learning methods or methods based on non-negative matrix decomposition to realize wind noise detection and suppression [3]. Consumable communication application requirements, not universally applicable

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  • A wind noise detection and suppression method and apparatus suitable for speech and audio
  • A wind noise detection and suppression method and apparatus suitable for speech and audio
  • A wind noise detection and suppression method and apparatus suitable for speech and audio

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[0019] The embodiment of the present invention proposes a low algorithm complexity real-time wind noise detection and suppression method, which is suitable for speech and audio signals, and can be applied to real-time speech and audio communication systems, and can also be applied to non-real-time speech and audio signal enhancement . In the embodiment of the present invention, by performing complex coherence function estimation on speech or audio, the sound source localization angles of multiple microphones in each speech frame are obtained in pairs, and then the sound source localization angle variance in the speech frame is obtained; Source localization angle variance determines the presence or absence of wind noise in speech frames.

[0020] In another embodiment of the present invention, the wind noise gain function in the speech or audio frame can be determined based on the sound source localization angle variance in the speech or audio frame; then, according to the wind...

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Abstract

The invention provides a wind noise detection and suppression method. In one embodiment, the method includes estimating a complex coherence function of speech or audio to obtain a sound source localization angle of a plurality of microphones in each speech frame, thereby obtaining a sound source localization angle variance in the speech frame; determining whether wind noise exist in a speech frameaccording to that angular variance of the sound source localization. Experiments show that the method can detect and suppress strong non-stationary wind noise in real time without obvious speech andaudio distortion.

Description

technical field [0001] The present application relates to the field of noise processing, in particular to a real-time wind noise detection and suppression method and device suitable for speech and audio. Background technique [0002] At present, the traditional single-channel speech enhancement method assumes the stationary characteristics of the noise, so the noise estimation method can be used to estimate the stationary noise power spectrum, and finally suppress the stationary noise [1]. The multi-channel speech enhancement method can take advantage of 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 [2]. The current method based on deep learning has a large amount of calculation, and the environmental adaptability and generalization ability need to be further improved. [0003] Wind noise is a strong non-stationary noise. At the same...

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Application Information

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IPC IPC(8): G10L21/0264G10L25/78
CPCG10L21/0264G10L25/78
Inventor 邱锋海匡敬辉
Owner 北京声加科技有限公司