Speech enhancement using wavelet packets
A new speech enhancement algorithm for speech corrupted by background noise based on Wiener filtering and discrete wavelet transform was developed. Wavelet Packet Analysis Tool of MATLAB was first used to break down the noisy speech into different sub-band components. Next, the sub-band components o...
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sg-ntu-dr.10356-132382023-07-04T15:53:19Z Speech enhancement using wavelet packets Tan, Kwang Jong. Soon, Ing Yann School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems A new speech enhancement algorithm for speech corrupted by background noise based on Wiener filtering and discrete wavelet transform was developed. Wavelet Packet Analysis Tool of MATLAB was first used to break down the noisy speech into different sub-band components. Next, the sub-band components of the noisy speech were passed to Wiener smoothing filter. Finally, the filtered components were reconstructed back to time-domain to obtain the speech signal estimate. Selection of the different sub-bands was based on existing information available in the method used for Articulation Index calculation. The proposed algorithm is to be appeared in the Singapore ICCS '98 Nov issue [1]. Master of Science (Communication and Network Systems) 2008-10-20T07:20:56Z 2008-10-20T07:20:56Z 1999 1999 Thesis http://hdl.handle.net/10356/13238 en 108 p. application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems Tan, Kwang Jong. Speech enhancement using wavelet packets |
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A new speech enhancement algorithm for speech corrupted by background noise based on Wiener filtering and discrete wavelet transform was developed. Wavelet Packet Analysis Tool of MATLAB was first used to break down the noisy speech into different sub-band components. Next, the sub-band components of the noisy speech were passed to Wiener smoothing filter. Finally, the filtered components were reconstructed back to time-domain to obtain the speech signal estimate. Selection of the different sub-bands was based on existing information available in the method used for Articulation Index calculation. The proposed algorithm is to be appeared in the Singapore ICCS '98 Nov issue [1]. |
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Soon, Ing Yann |
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Soon, Ing Yann Tan, Kwang Jong. |
format |
Theses and Dissertations |
author |
Tan, Kwang Jong. |
author_sort |
Tan, Kwang Jong. |
title |
Speech enhancement using wavelet packets |
title_short |
Speech enhancement using wavelet packets |
title_full |
Speech enhancement using wavelet packets |
title_fullStr |
Speech enhancement using wavelet packets |
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Speech enhancement using wavelet packets |
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speech enhancement using wavelet packets |
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2008 |
url |
http://hdl.handle.net/10356/13238 |
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1772825937520361472 |