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Time-frequency plane Wiener filtering for robust processing of speech signals
This paper uses discrete wavelet transforms together with Wiener filtering to enhance noisy speech for further processing. The speech signal is mixed with various levels of white and coloured noises and decomposed into several levels using wavelet analysis. The output signal at each level is process...
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container_end_page | 38 vol.1 |
container_issue | |
container_start_page | 35 |
container_title | |
container_volume | 1 |
creator | Adrian Ang Ee-Luang Ang Premkumar, A.B. Madhukumar, A.S. |
description | This paper uses discrete wavelet transforms together with Wiener filtering to enhance noisy speech for further processing. The speech signal is mixed with various levels of white and coloured noises and decomposed into several levels using wavelet analysis. The output signal at each level is processed separately using iterative Wiener filtering. An efficient speech coding system is developed for the enhanced speech bands. |
doi_str_mv | 10.1109/TENCON.1997.647252 |
format | conference_proceeding |
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The speech signal is mixed with various levels of white and coloured noises and decomposed into several levels using wavelet analysis. The output signal at each level is processed separately using iterative Wiener filtering. An efficient speech coding system is developed for the enhanced speech bands.</description><identifier>ISBN: 0780343654</identifier><identifier>ISBN: 9780780343658</identifier><identifier>DOI: 10.1109/TENCON.1997.647252</identifier><language>eng</language><publisher>IEEE</publisher><subject>Colored noise ; Discrete wavelet transforms ; Noise robustness ; Signal processing ; Speech analysis ; Speech coding ; Speech enhancement ; Speech processing ; Time frequency analysis ; Wiener filter</subject><ispartof>TENCON '97 Brisbane - Australia. Proceedings of IEEE TENCON '97. IEEE Region 10 Annual Conference. Speech and Image Technologies for Computing and Telecommunications (Cat. 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Speech and Image Technologies for Computing and Telecommunications (Cat. No.97CH36162)</title><addtitle>TENCON</addtitle><description>This paper uses discrete wavelet transforms together with Wiener filtering to enhance noisy speech for further processing. The speech signal is mixed with various levels of white and coloured noises and decomposed into several levels using wavelet analysis. The output signal at each level is processed separately using iterative Wiener filtering. An efficient speech coding system is developed for the enhanced speech bands.</description><subject>Colored noise</subject><subject>Discrete wavelet transforms</subject><subject>Noise robustness</subject><subject>Signal processing</subject><subject>Speech analysis</subject><subject>Speech coding</subject><subject>Speech enhancement</subject><subject>Speech processing</subject><subject>Time frequency analysis</subject><subject>Wiener filter</subject><isbn>0780343654</isbn><isbn>9780780343658</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1997</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNp9jrsOgjAYRpsYE2-8AFNfAGyh5TITjIu4kDgSJH-xBkptYeDtxejsWU5yvuVDyKXEp5SkxzIvsmvh0zSN_YjFAQ9WaEfihIQsjDjbIMfaJ1lgnNMk2aJLKXvwhIHXBKqZse5qBfgmQYHBQnYjGKlaLAaDzXCf7Ii1GRqw9lMHga0GaB7YylbVnT2gtVgEzs975J7yMjt7EgAqbWRfm7n6Hgv_jm8xOD42</recordid><startdate>1997</startdate><enddate>1997</enddate><creator>Adrian Ang</creator><creator>Ee-Luang Ang</creator><creator>Premkumar, A.B.</creator><creator>Madhukumar, A.S.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>1997</creationdate><title>Time-frequency plane Wiener filtering for robust processing of speech signals</title><author>Adrian Ang ; Ee-Luang Ang ; Premkumar, A.B. ; Madhukumar, A.S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-ieee_primary_6472523</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1997</creationdate><topic>Colored noise</topic><topic>Discrete wavelet transforms</topic><topic>Noise robustness</topic><topic>Signal processing</topic><topic>Speech analysis</topic><topic>Speech coding</topic><topic>Speech enhancement</topic><topic>Speech processing</topic><topic>Time frequency analysis</topic><topic>Wiener filter</topic><toplevel>online_resources</toplevel><creatorcontrib>Adrian Ang</creatorcontrib><creatorcontrib>Ee-Luang Ang</creatorcontrib><creatorcontrib>Premkumar, A.B.</creatorcontrib><creatorcontrib>Madhukumar, A.S.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Xplore</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Adrian Ang</au><au>Ee-Luang Ang</au><au>Premkumar, A.B.</au><au>Madhukumar, A.S.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Time-frequency plane Wiener filtering for robust processing of speech signals</atitle><btitle>TENCON '97 Brisbane - Australia. Proceedings of IEEE TENCON '97. IEEE Region 10 Annual Conference. Speech and Image Technologies for Computing and Telecommunications (Cat. No.97CH36162)</btitle><stitle>TENCON</stitle><date>1997</date><risdate>1997</risdate><volume>1</volume><spage>35</spage><epage>38 vol.1</epage><pages>35-38 vol.1</pages><isbn>0780343654</isbn><isbn>9780780343658</isbn><abstract>This paper uses discrete wavelet transforms together with Wiener filtering to enhance noisy speech for further processing. The speech signal is mixed with various levels of white and coloured noises and decomposed into several levels using wavelet analysis. The output signal at each level is processed separately using iterative Wiener filtering. An efficient speech coding system is developed for the enhanced speech bands.</abstract><pub>IEEE</pub><doi>10.1109/TENCON.1997.647252</doi></addata></record> |
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identifier | ISBN: 0780343654 |
ispartof | TENCON '97 Brisbane - Australia. Proceedings of IEEE TENCON '97. IEEE Region 10 Annual Conference. Speech and Image Technologies for Computing and Telecommunications (Cat. No.97CH36162), 1997, Vol.1, p.35-38 vol.1 |
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language | eng |
recordid | cdi_ieee_primary_647252 |
source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Colored noise Discrete wavelet transforms Noise robustness Signal processing Speech analysis Speech coding Speech enhancement Speech processing Time frequency analysis Wiener filter |
title | Time-frequency plane Wiener filtering for robust processing of speech signals |
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