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This paper is concerned with the application of wavelet transforms (WT) to blind adaptive filtering (BAF) of speech signals from unknown colored noise under a single-microphone constraint when neither speech nor noise are separately accessible. The paper describes the BAF system which performs discrete WT of noisy speech signals and identifies and separates noise from speech. The BAF then tunes sets of weights that multiply WT coefficients on different scales of the WT to produce a significantly improved signal-to-noise ratio and intelligibility of the filtered speech signal at the output of the BAF.
Published in:
Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on
(Volume:50
,
Issue:
3
)
Date of Publication: Mar 2003
- Page(s):
- 150 - 154
- ISSN :
- 1057-7130
- INSPEC Accession Number:
- 7560087
- Digital Object Identifier :
- 10.1109/TCSII.2003.809717
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 02 April 2003
- Issue Date :
- Mar 2003
- Sponsored by :
- IEEE Circuits and Systems Society
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