Multi-Band Speech Enhancement for Functional MRI
We present an adaptive enhancement method for speech signal corrupted by the 3 Tesla (3T) functional magnetic resonance imaging (fMRI) acoustic noise. The noisy speech signal is filtered into several frequency bands and noise cancellation is applied to each band independently. We use normalized leas...
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creator | Ramachandran, V. Panahi, I.M.S. Hu, Y. Loizou, P.C. Briggs, R.W. McCaslin, S.R. |
description | We present an adaptive enhancement method for speech signal corrupted by the 3 Tesla (3T) functional magnetic resonance imaging (fMRI) acoustic noise. The noisy speech signal is filtered into several frequency bands and noise cancellation is applied to each band independently. We use normalized least mean squares (NLMS) algorithm for updating the co-efficients of the adaptive filters in both wideband and in multi-band implementations. The NLMS algorithm is used to ensure faster convergence and stability. The multi-band method shows a better performance than the conventional wideband method resulting in a better noise reduction. It is shown that the distortion introduced by the band-pass filters limits the overall speech enhancement when the number of bands increases beyond an optimal value |
doi_str_mv | 10.1109/ICASSP.2006.1660876 |
format | Conference Proceeding |
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The noisy speech signal is filtered into several frequency bands and noise cancellation is applied to each band independently. We use normalized least mean squares (NLMS) algorithm for updating the co-efficients of the adaptive filters in both wideband and in multi-band implementations. The NLMS algorithm is used to ensure faster convergence and stability. The multi-band method shows a better performance than the conventional wideband method resulting in a better noise reduction. It is shown that the distortion introduced by the band-pass filters limits the overall speech enhancement when the number of bands increases beyond an optimal value</description><identifier>ISSN: 1520-6149</identifier><identifier>ISBN: 9781424404698</identifier><identifier>ISBN: 142440469X</identifier><identifier>EISSN: 2379-190X</identifier><identifier>DOI: 10.1109/ICASSP.2006.1660876</identifier><language>eng</language><publisher>IEEE</publisher><subject>Acoustic noise ; Adaptive filters ; Convergence ; Frequency ; Magnetic noise ; Magnetic resonance imaging ; Magnetic separation ; Noise cancellation ; Speech enhancement ; Wideband</subject><ispartof>2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings, 2006, Vol.3, p.III-III</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/1660876$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,4036,4037,27902,54895</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/1660876$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Ramachandran, V.</creatorcontrib><creatorcontrib>Panahi, I.M.S.</creatorcontrib><creatorcontrib>Hu, Y.</creatorcontrib><creatorcontrib>Loizou, P.C.</creatorcontrib><creatorcontrib>Briggs, R.W.</creatorcontrib><creatorcontrib>McCaslin, S.R.</creatorcontrib><title>Multi-Band Speech Enhancement for Functional MRI</title><title>2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings</title><addtitle>ICASSP</addtitle><description>We present an adaptive enhancement method for speech signal corrupted by the 3 Tesla (3T) functional magnetic resonance imaging (fMRI) acoustic noise. The noisy speech signal is filtered into several frequency bands and noise cancellation is applied to each band independently. We use normalized least mean squares (NLMS) algorithm for updating the co-efficients of the adaptive filters in both wideband and in multi-band implementations. The NLMS algorithm is used to ensure faster convergence and stability. The multi-band method shows a better performance than the conventional wideband method resulting in a better noise reduction. It is shown that the distortion introduced by the band-pass filters limits the overall speech enhancement when the number of bands increases beyond an optimal value</description><subject>Acoustic noise</subject><subject>Adaptive filters</subject><subject>Convergence</subject><subject>Frequency</subject><subject>Magnetic noise</subject><subject>Magnetic resonance imaging</subject><subject>Magnetic separation</subject><subject>Noise cancellation</subject><subject>Speech enhancement</subject><subject>Wideband</subject><issn>1520-6149</issn><issn>2379-190X</issn><isbn>9781424404698</isbn><isbn>142440469X</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2006</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNp9zrsOgjAUgOETL4lEeQKWvgB4TqmFjmowMpAYcXAjDZaAwWq4DL69C7PTP3zLD-ARBkSotulxn-eXgCPKgKTEOJIzcHgYKZ8U3ufgqigmwYVAIVW8AId2HH1JQq3A7fsnIpKSkQi5A5iN7dD4B20fLP8YU9YssbW2pXkZO7Dq3bHTaMuheVvdsuyabmBZ6bY37tQ1eKfkdjz7jTGm-HTNS3ffYvoK_-sPpvE3MQ</recordid><startdate>2006</startdate><enddate>2006</enddate><creator>Ramachandran, V.</creator><creator>Panahi, I.M.S.</creator><creator>Hu, Y.</creator><creator>Loizou, P.C.</creator><creator>Briggs, R.W.</creator><creator>McCaslin, S.R.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>2006</creationdate><title>Multi-Band Speech Enhancement for Functional MRI</title><author>Ramachandran, V. ; Panahi, I.M.S. ; Hu, Y. ; Loizou, P.C. ; Briggs, R.W. ; McCaslin, S.R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-ieee_primary_16608763</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Acoustic noise</topic><topic>Adaptive filters</topic><topic>Convergence</topic><topic>Frequency</topic><topic>Magnetic noise</topic><topic>Magnetic resonance imaging</topic><topic>Magnetic separation</topic><topic>Noise cancellation</topic><topic>Speech enhancement</topic><topic>Wideband</topic><toplevel>online_resources</toplevel><creatorcontrib>Ramachandran, V.</creatorcontrib><creatorcontrib>Panahi, I.M.S.</creatorcontrib><creatorcontrib>Hu, Y.</creatorcontrib><creatorcontrib>Loizou, P.C.</creatorcontrib><creatorcontrib>Briggs, R.W.</creatorcontrib><creatorcontrib>McCaslin, S.R.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Ramachandran, V.</au><au>Panahi, I.M.S.</au><au>Hu, Y.</au><au>Loizou, P.C.</au><au>Briggs, R.W.</au><au>McCaslin, S.R.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Multi-Band Speech Enhancement for Functional MRI</atitle><btitle>2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings</btitle><stitle>ICASSP</stitle><date>2006</date><risdate>2006</risdate><volume>3</volume><spage>III</spage><epage>III</epage><pages>III-III</pages><issn>1520-6149</issn><eissn>2379-190X</eissn><isbn>9781424404698</isbn><isbn>142440469X</isbn><abstract>We present an adaptive enhancement method for speech signal corrupted by the 3 Tesla (3T) functional magnetic resonance imaging (fMRI) acoustic noise. The noisy speech signal is filtered into several frequency bands and noise cancellation is applied to each band independently. We use normalized least mean squares (NLMS) algorithm for updating the co-efficients of the adaptive filters in both wideband and in multi-band implementations. The NLMS algorithm is used to ensure faster convergence and stability. The multi-band method shows a better performance than the conventional wideband method resulting in a better noise reduction. It is shown that the distortion introduced by the band-pass filters limits the overall speech enhancement when the number of bands increases beyond an optimal value</abstract><pub>IEEE</pub><doi>10.1109/ICASSP.2006.1660876</doi></addata></record> |
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language | eng |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Acoustic noise Adaptive filters Convergence Frequency Magnetic noise Magnetic resonance imaging Magnetic separation Noise cancellation Speech enhancement Wideband |
title | Multi-Band Speech Enhancement for Functional MRI |
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