Speech signal enhancement through wavelet domain MMSE filtering
A new speech enhancement system that combine robust signal enhancement and minimum signal distortion is proposed in this paper. The proposed method introduces frequency depended, parametric, MMSE filtering techniques that involve wavelet packets. Voice activity detection (VAD) is used to further dis...
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| creator | Zou Fenghua Yang Le Wang Jian Sun Qiang |
| description | A new speech enhancement system that combine robust signal enhancement and minimum signal distortion is proposed in this paper. The proposed method introduces frequency depended, parametric, MMSE filtering techniques that involve wavelet packets. Voice activity detection (VAD) is used to further distinguish speech from noise and help to adaptively remove noise components from color noise eruptive noisy speech, while perceptual criteria is also taken into account. Experimental results and objective quality measurement test results validate the proposed speech enhancement system and illustrate the benefit of the proposed wavelet domain MMSE filtering as an excellent speech enhancement method to provide sufficient noise reduction and good intelligibility and perceptual quality, without causing considerable signal distortion and musical background noise method. |
| doi_str_mv | 10.1109/CMCE.2010.5610046 |
| format | Conference Proceeding |
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The proposed method introduces frequency depended, parametric, MMSE filtering techniques that involve wavelet packets. Voice activity detection (VAD) is used to further distinguish speech from noise and help to adaptively remove noise components from color noise eruptive noisy speech, while perceptual criteria is also taken into account. Experimental results and objective quality measurement test results validate the proposed speech enhancement system and illustrate the benefit of the proposed wavelet domain MMSE filtering as an excellent speech enhancement method to provide sufficient noise reduction and good intelligibility and perceptual quality, without causing considerable signal distortion and musical background noise method.</description><identifier>ISSN: 2159-6026</identifier><identifier>ISBN: 9781424479573</identifier><identifier>ISBN: 1424479576</identifier><identifier>EISBN: 1424479584</identifier><identifier>EISBN: 9781424479580</identifier><identifier>EISBN: 9781424479559</identifier><identifier>EISBN: 142447955X</identifier><identifier>DOI: 10.1109/CMCE.2010.5610046</identifier><language>eng</language><publisher>IEEE</publisher><subject>MMSE filter ; Noise ; Noise measurement ; Physics ; Robustness ; speech enhancement ; voice activity detection ; wavelet package</subject><ispartof>2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, 2010, Vol.5, p.118-121</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5610046$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5610046$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Zou Fenghua</creatorcontrib><creatorcontrib>Yang Le</creatorcontrib><creatorcontrib>Wang Jian</creatorcontrib><creatorcontrib>Sun Qiang</creatorcontrib><title>Speech signal enhancement through wavelet domain MMSE filtering</title><title>2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering</title><addtitle>CMCE</addtitle><description>A new speech enhancement system that combine robust signal enhancement and minimum signal distortion is proposed in this paper. The proposed method introduces frequency depended, parametric, MMSE filtering techniques that involve wavelet packets. Voice activity detection (VAD) is used to further distinguish speech from noise and help to adaptively remove noise components from color noise eruptive noisy speech, while perceptual criteria is also taken into account. Experimental results and objective quality measurement test results validate the proposed speech enhancement system and illustrate the benefit of the proposed wavelet domain MMSE filtering as an excellent speech enhancement method to provide sufficient noise reduction and good intelligibility and perceptual quality, without causing considerable signal distortion and musical background noise method.</description><subject>MMSE filter</subject><subject>Noise</subject><subject>Noise measurement</subject><subject>Physics</subject><subject>Robustness</subject><subject>speech enhancement</subject><subject>voice activity detection</subject><subject>wavelet package</subject><issn>2159-6026</issn><isbn>9781424479573</isbn><isbn>1424479576</isbn><isbn>1424479584</isbn><isbn>9781424479580</isbn><isbn>9781424479559</isbn><isbn>142447955X</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1j8tKw0AUQEdUsNZ8gLiZH0i9N_PIzEokxAc0uGj3ZdK5SUaSaUmi4t8rWFeHszlwGLtFWCGCvS-qolxl8KtKI4DUZ-waZSZlbpWR5yyxufn3XFywRYbKphoyfcWSaXoHAIHGmNws2MPmSLTv-BTa6HpOsXNxTwPFmc_dePhoO_7lPqmnmfvD4ELkVbUpeRP6mcYQ2xt22bh-ouTEJds-ldviJV2_Pb8Wj-s0WJjTBsGgRi8UoVMWMqM8otAKm0bUmUBnc6d0LcBr760gha7OhdRSGmcMiiW7-8sGItodxzC48Xt32hc_3fxKWQ</recordid><startdate>201008</startdate><enddate>201008</enddate><creator>Zou Fenghua</creator><creator>Yang Le</creator><creator>Wang Jian</creator><creator>Sun Qiang</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201008</creationdate><title>Speech signal enhancement through wavelet domain MMSE filtering</title><author>Zou Fenghua ; Yang Le ; Wang Jian ; Sun Qiang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-f108161d35e1a590285d113651ff3b231a97a56b30d6dd93e51ab7346448a8813</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>MMSE filter</topic><topic>Noise</topic><topic>Noise measurement</topic><topic>Physics</topic><topic>Robustness</topic><topic>speech enhancement</topic><topic>voice activity detection</topic><topic>wavelet package</topic><toplevel>online_resources</toplevel><creatorcontrib>Zou Fenghua</creatorcontrib><creatorcontrib>Yang Le</creatorcontrib><creatorcontrib>Wang Jian</creatorcontrib><creatorcontrib>Sun Qiang</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>Zou Fenghua</au><au>Yang Le</au><au>Wang Jian</au><au>Sun Qiang</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Speech signal enhancement through wavelet domain MMSE filtering</atitle><btitle>2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering</btitle><stitle>CMCE</stitle><date>2010-08</date><risdate>2010</risdate><volume>5</volume><spage>118</spage><epage>121</epage><pages>118-121</pages><issn>2159-6026</issn><isbn>9781424479573</isbn><isbn>1424479576</isbn><eisbn>1424479584</eisbn><eisbn>9781424479580</eisbn><eisbn>9781424479559</eisbn><eisbn>142447955X</eisbn><abstract>A new speech enhancement system that combine robust signal enhancement and minimum signal distortion is proposed in this paper. The proposed method introduces frequency depended, parametric, MMSE filtering techniques that involve wavelet packets. Voice activity detection (VAD) is used to further distinguish speech from noise and help to adaptively remove noise components from color noise eruptive noisy speech, while perceptual criteria is also taken into account. Experimental results and objective quality measurement test results validate the proposed speech enhancement system and illustrate the benefit of the proposed wavelet domain MMSE filtering as an excellent speech enhancement method to provide sufficient noise reduction and good intelligibility and perceptual quality, without causing considerable signal distortion and musical background noise method.</abstract><pub>IEEE</pub><doi>10.1109/CMCE.2010.5610046</doi><tpages>4</tpages></addata></record> |
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| ispartof | 2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, 2010, Vol.5, p.118-121 |
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| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | MMSE filter Noise Noise measurement Physics Robustness speech enhancement voice activity detection wavelet package |
| title | Speech signal enhancement through wavelet domain MMSE filtering |
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