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

Sheau Fang Lei; Ying Kai Tung

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

Sheau Fang Lei, Ying Kai Tung

Department of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Proceedings of 2005 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2005
Pages	41-44
Number of pages	4
Publication status	Published - 2005 Dec 1
Event	2005 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2005 - Hong Kong, China Duration: 2005 Dec 13 → 2005 Dec 16

Publication series

Name	Proceedings of 2005 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2005
Volume	2005

Other

Other	2005 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2005
Country	China
City	Hong Kong
Period	05-12-13 → 05-12-16

All Science Journal Classification (ASJC) codes

Engineering(all)

Access to Document

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Lei, S. F., & Tung, Y. K. (2005). Speech enhancement for nonstationary noises by wavelet packet transform and adaptive noise estimation. In Proceedings of 2005 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2005 (pp. 41-44). [1595341] (Proceedings of 2005 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2005; Vol. 2005).

Lei, Sheau Fang ; Tung, Ying Kai. / Speech enhancement for nonstationary noises by wavelet packet transform and adaptive noise estimation. Proceedings of 2005 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2005. 2005. pp. 41-44 (Proceedings of 2005 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2005).

@inproceedings{87541c4c489540e79b692da636c1e69d,

title = "Speech enhancement for nonstationary noises by wavelet packet transform and adaptive noise estimation",

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.",

author = "Lei, {Sheau Fang} and Tung, {Ying Kai}",

year = "2005",

month = dec,

day = "1",

language = "English",

isbn = "0780392663",

series = "Proceedings of 2005 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2005",

pages = "41--44",

booktitle = "Proceedings of 2005 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2005",

note = "2005 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2005 ; Conference date: 13-12-2005 Through 16-12-2005",

}

Lei, SF & Tung, YK 2005, Speech enhancement for nonstationary noises by wavelet packet transform and adaptive noise estimation. in Proceedings of 2005 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2005., 1595341, Proceedings of 2005 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2005, vol. 2005, pp. 41-44, 2005 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2005, Hong Kong, China, 05-12-13.

Speech enhancement for nonstationary noises by wavelet packet transform and adaptive noise estimation. / Lei, Sheau Fang; Tung, Ying Kai.

Proceedings of 2005 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2005. 2005. p. 41-44 1595341 (Proceedings of 2005 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2005; Vol. 2005).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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N2 - 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.

AB - 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.

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Lei SF, Tung YK. Speech enhancement for nonstationary noises by wavelet packet transform and adaptive noise estimation. In Proceedings of 2005 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2005. 2005. p. 41-44. 1595341. (Proceedings of 2005 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2005).