Speech enhancement based on spectral subtraction in wavelet domain
In this paper we propose a new approach for speech enhancement. The method used to remove the noise components is a combination of two methods: Wavelet de-noising and spectral subtraction. The idea is to apply the spectral subtraction to wavelet approximations and details coefficients. A new paramet...
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creator | Hassani, M Mollaei, M R K |
description | In this paper we propose a new approach for speech enhancement. The method used to remove the noise components is a combination of two methods: Wavelet de-noising and spectral subtraction. The idea is to apply the spectral subtraction to wavelet approximations and details coefficients. A new parameter for spectral subtraction in unvoiced speech frames is introduced and the existing power factor in spectral subtraction method is improved. Also, for reduction of musical noise, we propose to use iterative Wiener filtering. Experimental results demonstrate that the proposed speech enhancement algorithm is very promising. |
doi_str_mv | 10.1109/CSPA.2011.5759904 |
format | Conference Proceeding |
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The method used to remove the noise components is a combination of two methods: Wavelet de-noising and spectral subtraction. The idea is to apply the spectral subtraction to wavelet approximations and details coefficients. A new parameter for spectral subtraction in unvoiced speech frames is introduced and the existing power factor in spectral subtraction method is improved. Also, for reduction of musical noise, we propose to use iterative Wiener filtering. Experimental results demonstrate that the proposed speech enhancement algorithm is very promising.</description><subject>Approximation methods</subject><subject>Noise measurement</subject><subject>Signal processing algorithms</subject><subject>Signal to noise ratio</subject><subject>Spectral subtraction</subject><subject>Speech</subject><subject>Speech enhancement</subject><subject>Wavelet de-noising</subject><isbn>1612844146</isbn><isbn>9781612844145</isbn><isbn>9781612844121</isbn><isbn>161284412X</isbn><isbn>1612844138</isbn><isbn>9781612844138</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2011</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1j9tKxDAYhCMiqGsfQLzJC7TmnPyXa_EECwq790uS_mUrbbY0VfHtLbjOzcfMxTBDyC1nFecM7uvt-7oSjPNKWw3A1BkpwDpuuHBKccHPyfW_UeaSFDl_sEXGgBNwRR62I2I8UEwHnyIOmGYafMaGHhPNI8Z58j3Nn2FhnLsl7BL99l_Y40yb4-C7dEMuWt9nLE5ckd3T465-KTdvz6_1elN2wOZSCAcOjGYBTGui8Z5xL6QNsRXLHBWsULZhDrTU2loFALIN2gvBJFpj5Irc_dV2iLgfp27w08_-9Fr-AvQdSZI</recordid><startdate>201103</startdate><enddate>201103</enddate><creator>Hassani, M</creator><creator>Mollaei, M R K</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201103</creationdate><title>Speech enhancement based on spectral subtraction in wavelet domain</title><author>Hassani, M ; Mollaei, M R K</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-228989650b96f6c6aa01a237bcf20064b7247d08953557749993fb5a2203e7663</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Approximation methods</topic><topic>Noise measurement</topic><topic>Signal processing algorithms</topic><topic>Signal to noise ratio</topic><topic>Spectral subtraction</topic><topic>Speech</topic><topic>Speech enhancement</topic><topic>Wavelet de-noising</topic><toplevel>online_resources</toplevel><creatorcontrib>Hassani, M</creatorcontrib><creatorcontrib>Mollaei, M R K</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 Electronic Library (IEL)</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>Hassani, M</au><au>Mollaei, M R K</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Speech enhancement based on spectral subtraction in wavelet domain</atitle><btitle>2011 IEEE 7th International Colloquium on Signal Processing and its Applications</btitle><stitle>CSPA</stitle><date>2011-03</date><risdate>2011</risdate><spage>366</spage><epage>370</epage><pages>366-370</pages><isbn>1612844146</isbn><isbn>9781612844145</isbn><eisbn>9781612844121</eisbn><eisbn>161284412X</eisbn><eisbn>1612844138</eisbn><eisbn>9781612844138</eisbn><abstract>In this paper we propose a new approach for speech enhancement. The method used to remove the noise components is a combination of two methods: Wavelet de-noising and spectral subtraction. The idea is to apply the spectral subtraction to wavelet approximations and details coefficients. A new parameter for spectral subtraction in unvoiced speech frames is introduced and the existing power factor in spectral subtraction method is improved. Also, for reduction of musical noise, we propose to use iterative Wiener filtering. Experimental results demonstrate that the proposed speech enhancement algorithm is very promising.</abstract><pub>IEEE</pub><doi>10.1109/CSPA.2011.5759904</doi><tpages>5</tpages></addata></record> |
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identifier | ISBN: 1612844146 |
ispartof | 2011 IEEE 7th International Colloquium on Signal Processing and its Applications, 2011, p.366-370 |
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subjects | Approximation methods Noise measurement Signal processing algorithms Signal to noise ratio Spectral subtraction Speech Speech enhancement Wavelet de-noising |
title | Speech enhancement based on spectral subtraction in wavelet domain |
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