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Spetral Subtraction in Wavelet Domain

Started by khal...@yahoo.co.in June 27, 2007
Hi all,
Has anyone here done Spectral Subtraction in Wavelet Domain? How is this different from the one in FFT domain?
I have estimated the noise frame from the silence periods in the Noisy speech signal. Now the next step is applying DWT. My question is
1) Should i apply DWT to Noise Estimate frame and Noisy speech frame by frame or at once i.e. I have one frame (length = 512) as Noise Estimate and my size of noisy speech is 20,000. Should I divide my noisy speech in to frames of 512 and then apply DWT to both Noise estimate and Noisy speech or apply DWT to the whole of Noisy Speech(without Framing).
2) Now once both Noise Estimate and Noisy signal are in Wavelet domain how do i perform the Spectral subtraction.
Can you give me the necessary equations/ Titles of the Related Papers, I would be very thankful for any help/ Suggestion on this issue.
Thank you,
Khalandar Pasha N
Would you plz tell me how did u extract noise frame from silence periods. Did you use Zero-Crossing-Rate approach or Energy-Based approach. I have tried both of them and they work pretty well in clean speech but not with speech contaminated with background noise.
Your comments plz...

Hi all,
>Has anyone here done Spectral Subtraction in Wavelet Domain? How is this different from the one in FFT domain?
>I have estimated the noise frame from the silence periods in the Noisy speech signal. Now the next step is applying DWT. My question is
>1) Should i apply DWT to Noise Estimate frame and Noisy speech frame by frame or at once i.e. I have one frame (length = 512) as Noise Estimate and my size of noisy speech is 20,000. Should I divide my noisy speech in to frames of 512 and then apply DWT to both Noise estimate and Noisy speech or apply DWT to the whole of Noisy Speech(without Framing).
>2) Now once both Noise Estimate and Noisy signal are in Wavelet domain how do i perform the Spectral subtraction.
>Can you give me the necessary equations/ Titles of the Related Papers, I would be very thankful for any help/ Suggestion on this issue.
>Thank you,
>Khalandar Pasha N