Denoising of Speech Signal Using Wavelet Transform

웨이브렛 변환을 이용한 음성신호의 잡음제거

  • Published : 2000.07.01

Abstract

This paper deals with speech enhancement methods using the wavelet transform. A cycle-spinning scheme and undecimated wavelet transform are used for denoising of speech signals, and then their results are compared with that of the conventional wavelet transform. We apply soft-thresholding technique for removing additive background noise from noisy speech. The symlets 8-tap wavelet and pyramid algorithm are used for the wavelet transform. Performance assessments based on average SNR, cepstral distance and informal subjective listening test are carried out. Experimental results demonstrate that both cycle-spinning denoising(CSD) method and undecimated wavelet denoising(CWD) method outperform conventional wavelet denoising(UWD) method in objective performance measure as welt as subjective listening test. The two methods also show less "clicks" that usually appears in the neighborhood of signal discontinuities.

Keywords

References

  1. IEEE Signal Processing Magazine "Wavelet and Signal Processing" O.Rioul;M.Vetterli
  2. IEEE Trans.on Information Theory v.36 no.5 "The Wavelet Transform Time-Frequency Lacalization and Signal Analysis" I.Daubechies
  3. SLAM "Ten Lectures on Wavelets" I.Daubechies
  4. IEEE Trans. on Information Theory v.38 "Singularity detection and processing with wavelets" S.G.Mallat;W.Hwang
  5. IEEE Trans.on Signal Processing v.40 no.10 "The Discrete Wavelet Transform:Wedding the A Trous and Mallat Algorithms" Mark J.Shensa
  6. IEEE Trans.on Information Theory "De-Noising by Soft-Thresholding" D.L.Donoho
  7. ICASSP'97 "Speech Enhancement with Reduction of Noise Components in the Wavelet Domain" Jong Won Seok;Keun Sung Bae
  8. Biometrika v.81 "Ideal spatial adaptation via wavelet shrinkage" D.L.Donoho;I.M.Johnstone
  9. Technical Report, Department of Statistics "Translation-Invariant De-Noising" R.R.Coifman;D.L.Donoho
  10. 음성통신 및 신호처리 워크샵 논문집 "웨이브렛 변환을 이용한 유성음/무성음/묵음 분류" 손영호;배건성