Wiener filter for Noise Reduction and speech enhancement

버전 2.1.0.1 (214 KB) 작성자: Pascal Scalart
Wiener Noise Suppressor based on Decision-Directed method with TSNR and HRNR algorithms.

다운로드 수: 13.1K

업데이트 날짜: 2020/10/23

라이선스 보기

The two-step noise reduction (TSNR) technique removes the annoying reverberation effect while maintaining the benefits of the decision-directed approach. However, classic short-time noise reduction techniques, including TSNR, introduce harmonic distortion in the enhanced speech. To overcome this problem, a method called harmonic regeneration noise reduction (HRNR) is implemented in order to refine the a priori SNR used to compute a spectral gain able to preserve the speech harmonics as proposed by Plapous et al.
("Improved Signal-to-Noise Ratio Estimation for Speech Enhancement", IEEE Transactions on ASLP, Vol. 14, Issue 6, pp. 2098 - 2108, Nov. 2006).

%% example with the noisy speech file car.wav
>> [x,fs] = audioread('car.wav');
>> [out,~] = WienerNoiseReduction(x,fs,10000) % first 10000 samples are noise samples (without speech)
>> soundsc(out(1:122000),fs)

인용 양식

Pascal Scalart (2022). Wiener filter for Noise Reduction and speech enhancement (https://www.mathworks.com/matlabcentral/fileexchange/24462-wiener-filter-for-noise-reduction-and-speech-enhancement), MATLAB Central File Exchange. 검색됨 .

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