Speech enhancement for nonstationary noises by wavelet packet transform and adaptive noise estimation

Sheau Fang Lei, Ying Kai Tung

Research output: Chapter in Book/Report/Conference proceedingConference contribution

18 Citations (Scopus)

Abstract

This paper proposes a speech enhancement algorithm based on wavelet packet transform and adaptive noise estimation. The wavelet threshold in this algorithm is temporally adapted to SNR variations which can be calculated by adaptive noise estimation. Adaptive noise estimation can be computationally simple and reliable to estimate the noise levels from noisy signal itself without complicated speech pause detection. Thus the proposed algorithm can efficiently suppress the noise while reducing speech distortion. A speech signal corrupted by nonstationary noises is used for the performance evaluation of the proposed algorithm. Experimental results show that the proposed algorithm outperforms the conventional spectral subtraction and other wavelet based denoising approaches for speech enhancement.

Original languageEnglish
Title of host publicationProceedings of 2005 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2005
Pages41-44
Number of pages4
Publication statusPublished - 2005 Dec 1
Event2005 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2005 - Hong Kong, China
Duration: 2005 Dec 132005 Dec 16

Publication series

NameProceedings of 2005 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2005
Volume2005

Other

Other2005 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2005
CountryChina
CityHong Kong
Period05-12-1305-12-16

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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