Sound source separation via computational auditory scene analysis-enhanced beamforming
The paper describes a new approach to sound source separation, called computational auditory scene analysis-enhanced beamforming (CASA-EB). It achieves increased signal separation performance by combining beamforming with an auditory model (CASA). The motivation for combining them is that they are c...
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creator | Drake, L. Katsaggelos, A.K. Rutledge, J.C. Jun Zhang |
description | The paper describes a new approach to sound source separation, called computational auditory scene analysis-enhanced beamforming (CASA-EB). It achieves increased signal separation performance by combining beamforming with an auditory model (CASA). The motivation for combining them is that they are complementary, i.e., they use independent signal attributes, and as a result, CASA-EB can separate more types of mixtures. The efficacy of this approach is demonstrated by experimental results. |
doi_str_mv | 10.1109/SAM.2002.1191040 |
format | Conference Proceeding |
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It achieves increased signal separation performance by combining beamforming with an auditory model (CASA). The motivation for combining them is that they are complementary, i.e., they use independent signal attributes, and as a result, CASA-EB can separate more types of mixtures. 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It achieves increased signal separation performance by combining beamforming with an auditory model (CASA). The motivation for combining them is that they are complementary, i.e., they use independent signal attributes, and as a result, CASA-EB can separate more types of mixtures. The efficacy of this approach is demonstrated by experimental results.</description><subject>Acoustic signal processing</subject><subject>Array signal processing</subject><subject>Auditory system</subject><subject>Humans</subject><subject>Interference</subject><subject>Layout</subject><subject>Psychoacoustic models</subject><subject>Robotics and automation</subject><subject>Signal processing</subject><subject>Source separation</subject><isbn>0780375513</isbn><isbn>9780780375512</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2002</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotj01LxDAURQMiqOPsBTf5Ax1fmkmbLIfBLxhxMep2eEleNDJNS9MK_fcWnbs5nLu4cBm7EbASAszdfvOyKgHK2YyANZyxK6g1yFopIS_YMudvmCNNJcFcso99OybPczv2jnimDnscYpv4T0Tu2qYbhz_HI8fRx6HtJ54dJeI4d1OOuaD0hcmR55awCW3fxPR5zc4DHjMtT1yw94f7t-1TsXt9fN5udkUUtRoKYZVXFNC5WhsbLJlaOlSl9rUgR5WGYI2vbAVaoFRWVxhmekF6jVRZuWC3_7uRiA5dHxvsp8PpuvwFYxhR8g</recordid><startdate>2002</startdate><enddate>2002</enddate><creator>Drake, L.</creator><creator>Katsaggelos, A.K.</creator><creator>Rutledge, J.C.</creator><creator>Jun Zhang</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>2002</creationdate><title>Sound source separation via computational auditory scene analysis-enhanced beamforming</title><author>Drake, L. ; Katsaggelos, A.K. ; Rutledge, J.C. ; Jun Zhang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-1b5d5efacc789bfbe973ca528d71ece680fb9d6b6081a35b86afa35d1e84ae6b3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2002</creationdate><topic>Acoustic signal processing</topic><topic>Array signal processing</topic><topic>Auditory system</topic><topic>Humans</topic><topic>Interference</topic><topic>Layout</topic><topic>Psychoacoustic models</topic><topic>Robotics and automation</topic><topic>Signal processing</topic><topic>Source separation</topic><toplevel>online_resources</toplevel><creatorcontrib>Drake, L.</creatorcontrib><creatorcontrib>Katsaggelos, A.K.</creatorcontrib><creatorcontrib>Rutledge, J.C.</creatorcontrib><creatorcontrib>Jun Zhang</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>Drake, L.</au><au>Katsaggelos, A.K.</au><au>Rutledge, J.C.</au><au>Jun Zhang</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Sound source separation via computational auditory scene analysis-enhanced beamforming</atitle><btitle>Sensor Array and Multichannel Signal Processing Workshop Proceedings, 2002</btitle><stitle>SAM</stitle><date>2002</date><risdate>2002</risdate><spage>259</spage><epage>263</epage><pages>259-263</pages><isbn>0780375513</isbn><isbn>9780780375512</isbn><abstract>The paper describes a new approach to sound source separation, called computational auditory scene analysis-enhanced beamforming (CASA-EB). It achieves increased signal separation performance by combining beamforming with an auditory model (CASA). The motivation for combining them is that they are complementary, i.e., they use independent signal attributes, and as a result, CASA-EB can separate more types of mixtures. The efficacy of this approach is demonstrated by experimental results.</abstract><pub>IEEE</pub><doi>10.1109/SAM.2002.1191040</doi><tpages>5</tpages></addata></record> |
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subjects | Acoustic signal processing Array signal processing Auditory system Humans Interference Layout Psychoacoustic models Robotics and automation Signal processing Source separation |
title | Sound source separation via computational auditory scene analysis-enhanced beamforming |
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