Wavelet for speech denoising

This paper presents the use of the wavelet transform for noise reduction in noisy speech signals. The use of different wavelets and different orders have been evaluated for their suitability as a transform for speech noise removal. The wavelets evaluated are the biorthogonal wavelets, Daubechies wavelets, coiflets as well as symlets. Also two different means of filtering the noise in the transformed coefficients are presented. The first method is based on magnitude subtraction while the second method is based on the Wiener filter with a priori signal to noise ratio estimation.

[1]  Peter Vary,et al.  Noise suppression by spectral magnitude estimation —mechanism and theoretical limits— , 1985 .

[2]  Yariv Ephraim,et al.  A signal subspace approach for speech enhancement , 1995, IEEE Trans. Speech Audio Process..

[3]  Pascal Scalart,et al.  Speech enhancement based on a priori signal to noise estimation , 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.

[4]  Biing-Hwang Juang,et al.  Recent developments in speech recognition under adverse conditions , 1990, ICSLP.

[5]  R. McAulay,et al.  Speech enhancement using a soft-decision noise suppression filter , 1980 .

[6]  Olivier Cappé,et al.  Elimination of the musical noise phenomenon with the Ephraim and Malah noise suppressor , 1994, IEEE Trans. Speech Audio Process..

[7]  E. Munday.  Noise reduction using frequency-domain, non-linear processing for the enhancement of speech , 1990 .

[8]  Nuggehally Sampath Jayant,et al.  LPC analysis/Synthesis from speech inputs containing quantizing noise or additive white noise , 1976 .

[9]  Soo Ngee Koh,et al.  Noisy speech enhancement using discrete cosine transform , 1998, Speech Commun..

[10]  S. Boll,et al.  Suppression of acoustic noise in speech using spectral subtraction , 1979 .

[11]  Richard M. Schwartz,et al.  Enhancement of speech corrupted by acoustic noise , 1979, ICASSP.

[12]  David Malah,et al.  Speech enhancement using a minimum mean-square error log-spectral amplitude estimator , 1984, IEEE Trans. Acoust. Speech Signal Process..