A Speech Enhancement Method in Low SNR Environment

Yao Qi Wang; Xiao Peng Wang; Raji Rafiu King

doi:10.4028/www.scientific.net/AMR.645.179

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 645A Speech Enhancement Method in Low SNR Environment

A Speech Enhancement Method in Low SNR Environment

Abstract:

A new method of speech enhancement is proposed based on morphological filter and wavelet transform. The system begins by first conducting morphological filtering, then distinguishing the unvoiced, voiced and noise using TEO in the wavelet domain. It then executes wavelet transform using different threshold on multiscale, and at the same time to improve the threshold function. Experimental results showed that the method not only suppressed noise effectively but also reduced the loss of the unvoiced. It also not only enhanced SNR, but also improved voice clarity and comfort. The merits it espouses makes it an effective speech enhancement algorithm.

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Periodical:

Advanced Materials Research (Volume 645)

Pages:

179-183

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.645.179

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Online since:

January 2013

Authors:

Yao Qi Wang, Xiao Peng Wang, Raji Rafiu King

Keywords:

Morphological Filtering, Speech Enhancement, TEO, Wavelet Transform (WT)

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References

[1] Zhang Jun, Wang Heping. A New Approach of Pitch Detection Based on Morphology Filter and Wavelet Transform[C]. 2010 Second International Workshop on Education Technology and Computer Science (ETCS). Wuhan, Hubei, China. 6-7 March 2010: 751 – 753.

DOI: 10.1109/etcs.2010.556

Google Scholar

[2] XU Yan, CHA Cheng. Research of Speech Enhancement Based on Wavelet-Domain Spectral Subtraction Algorithm[J]. Journal of The China Railway Society, 2006, 28(6): 64-68.

Google Scholar

[3] Zhang Jun, Wang Heping. A New Approach of Pitch Detection Based on Morphology Filter and Wavelet Transform[C]. 2010 Second International Workshop on Education Technology and Computer Science (ETCS). Wuhan, Hubei, China. 6-7 March 2010: 751 – 753.

DOI: 10.1109/etcs.2010.556

Google Scholar

[4] Hu Ying, Chen Ning. Voiced/Unvoiced Classification and Pitch Period Detection Algorithm Based on Wavelet Transform[J]. Journal of Electronics & Information Technology, 2008, 30(2): 353-356.

DOI: 10.3724/sp.j.1146.2006.01066

Google Scholar

[5] Shi-Huang Chen, Rodrigo Capobianco Guido, Trieu-kien Truong, Yaotsu Chang. Improved voice activity detection algorithm using wavelet and support vector machine[J]. Computer Speech and Language. 2010, 24 (3): 531-543.

DOI: 10.1016/j.csl.2009.06.002

Google Scholar