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Wiener filter for Noise Reduction and speech enhancement

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Wiener filter for Noise Reduction and speech enhancement

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17 Jun 2009 (Updated )

Wiener Noise Suppressor based on Decision-Directed method with TSNR and HRNR algorithms.

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Description

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).

MATLAB release MATLAB 7.6 (R2008a)
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Comments and Ratings (9)
18 Sep 2013 souvik

the code which is provided gets stuck at this point given below.
nsum = nsum + abs(fft(nwin,NFFT)).^2;
can you please help me out regarding this.
the error showing is
"Error using ==> mpower
Matrix must be square.

Error in ==> WienerNoiseReduction at 57
nsum = nsum + abs(fft(nwin,NFFT)).^2;"

16 Mar 2012 T venkata bhargav  
25 Jun 2011 Michael Chan

how do u set 'IS'? zeros with the same length as the noisy signal?
I get silence.

04 Jun 2011 upendra agrawal

Wiener filter for Noise Reduction

24 May 2011 sachu  
16 Aug 2010 Taewoo Lee  
24 Nov 2009 Jakub Muran

You must change data() to ns() (ns - argument noise speech)

cavko bavko

30 Sep 2009 Yun Sue

Is the code with any mistakes? In the file, syntax of "nsum = data(...) " can't be executed. Can anyone tell me what is this mistake when I am reading my noise file?

18 Sep 2009 Yun Sue  
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