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)
Pascal Scalart (2021). 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. Retrieved .
can you mail the actual executed matlab code of fir wiener filter to firstname.lastname@example.org
can you mail me the actual executed code in matlab to, email@example.com
can you mail me the actual executed code in matlab to, firstname.lastname@example.org
A new version of the code is now available. The previous problem (i.e. data() should be changed to ns() ) has been fixed and a minimum value has been set to the gain of the noise reduction filter (in order to minimize speech distorsions).
Try the example :
[inSpeech,fs] = audioread('car.wav');
[outSpeech ,~] = WienerNoiseReduction(inSpeech,fs,10000);
it works after changing data() to ns()
can you mail me the actual executed code in matlab to email@example.com
can you mail me the actual executed code in matlab to firstname.lastname@example.org
This is a good implementation of the essay. I have a question over the gain control function. Why the first L/2 points and the last L/2 are chosen? I think it should be the first L points. And why the window is also applied to the modified time domain gain function? Moreover, how much is the aliasing error if gain control is not applied?
What is it data?
what define IS?
as foreigner to english I can't explain myself the meaning of IS (Initial Silence )
Please reply me as soon as possible
some of the foreigners may not understand the programs which are in english.but i can see this,haha...
how to define IS?
please reply as soon as possible..
Jakub was right. it works after changing data() to ns()
doesnt compile - data() doesnt exist. not sure what previous comment: data() to ns() means?
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;"
how do u set 'IS'? zeros with the same length as the noisy signal?
I get silence.
Wiener filter for Noise Reduction
You must change data() to ns() (ns - argument noise speech)
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?
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