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Noise estimation method based on recursive least tracking for sound pickup devices

A noise estimation and pickup technology, applied in instruments, speech analysis, etc., can solve the problems of increasing noise, over-estimation of noise, large derivative value, etc., and achieve the effect of accurate noise CPSD estimation, good simulation results, and enhanced quality

Inactive Publication Date: 2016-07-20
WUHAN KANGLIDE TECH CO LTD
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Problems solved by technology

When the CPSD of noisy speech has a very narrow peak, there will be a large derivative value at this time, and the noise estimate will suddenly increase significantly
Therefore, during speech activity, the IMT algorithm will overestimate the noise
The noise overestimation in the high-energy segment of the speech will cause the subsequent low-energy speech segment to be suppressed

Method used

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  • Noise estimation method based on recursive least tracking for sound pickup devices
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  • Noise estimation method based on recursive least tracking for sound pickup devices

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Embodiment Construction

[0045] In order to better understand the present invention, the content of the present invention will be further clarified below in conjunction with the embodiments, but the content of the present invention is not limited to the following embodiments. Those skilled in the art can make various changes or modifications to the present invention, and these equivalent forms are also within the scope of the claims listed in this application.

[0046] To overcome the problems of the background art, the present invention adopts an improved algorithm for recursive minimum tracking. This algorithm takes advantage of the uneven effect of noise on the speech spectrum. This phenomenon means that some areas of the speech frequency spectrum are more affected by noise than other areas, and components of different spectra are likely to have different actual signal-to-noise ratios. Therefore, the CPSD of noise can be estimated and updated in a single frequency band. LIN proposes a recursive aver...

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Abstract

The invention provides a noise estimation method based on recursive least tracking for sound pickup devices. A recursive average technology is adopted for a smoothing factor in the invention, and during noise cross-power spectrum estimation, the smoothing factor is correspondingly adjusted according to the actual signal-to-noise ratio of each frequency point. Simulation results show that a low noise mean square estimation error and a better perceptual evaluation of speech quality (PESQ) score are obtained when the noise estimation method is applied to a speech enhancement system.

Description

Technical field [0001] The invention relates to a noise estimation method applied to a voice enhancement system of a pickup, in particular to a noise cross power spectrum estimation method based on recursive minimum tracking, and belongs to the technical field of speech enhancement in speech signal processing. Background technique [0002] The dual microphone voice enhancement system has unique advantages when used in hands-free systems, hearing aids and cochlear implants. At present, the coherence filter has been well applied to the binary microphone speech enhancement system. However, when the distance between the two microphones is relatively close, the noise of the two channels will show correlation, and the noise cancellation performance of the coherence filter will be greatly reduced at this time. At this time, if the cross power spectral density (CPSD) between noises can be obtained, this problem will be effectively solved. [0003] Fathi proposed an improved minimum track...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G10L21/0216
CPCG10L21/0216G10L2021/02165
Inventor 赖锦培张正文高铭泽
Owner WUHAN KANGLIDE TECH CO LTD
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