Wiener filter for Noise Reduction and speech enhancement

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

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)

[Yun Sue]

 

[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?

[Jakub Muran]

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

cavko bavko

[Taewoo Lee]

 

[sachu]

 

[upendra agrawal]

Wiener filter for Noise Reduction

[Michael Chan]

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