New Insights Into the MVDR Beamformer in Room Acoustics
The minimum variance distortionless response (MVDR) beamformer, also known as Capon's beamformer, is widely studied in the area of speech enhancement. The MVDR beamformer can be used for both speech dereverberation and noise reduction. This paper provides new insights into the MVDR beamformer....
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Veröffentlicht in: | IEEE transactions on audio, speech, and language processing speech, and language processing, 2010-01, Vol.18 (1), p.158-170 |
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creator | Habets, E. Benesty, J. Cohen, I. Gannot, S. Dmochowski, J. |
description | The minimum variance distortionless response (MVDR) beamformer, also known as Capon's beamformer, is widely studied in the area of speech enhancement. The MVDR beamformer can be used for both speech dereverberation and noise reduction. This paper provides new insights into the MVDR beamformer. Specifically, the local and global behavior of the MVDR beamformer is analyzed and novel forms of the MVDR filter are derived and discussed. In earlier works it was observed that there is a tradeoff between the amount of speech dereverberation and noise reduction when the MVDR beamformer is used. Here, the tradeoff between speech dereverberation and noise reduction is analyzed thoroughly. The local and global behavior, as well as the tradeoff, is analyzed for different noise fields such as, for example, a mixture of coherent and non-coherent noise fields, entirely non-coherent noise fields and diffuse noise fields. It is shown that maximum noise reduction is achieved when the MVDR beamformer is used for noise reduction only. The amount of noise reduction that is sacrificed when complete dereverberation is required depends on the direct-to-reverberation ratio of the acoustic impulse response between the source and the reference microphone. The performance evaluation supports the theoretical analysis and demonstrates the tradeoff between speech dereverberation and noise reduction. When desiring both speech dereverberation and noise reduction, the results also demonstrate that the amount of noise reduction that is sacrificed decreases when the number of microphones increases. |
doi_str_mv | 10.1109/TASL.2009.2024731 |
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The amount of noise reduction that is sacrificed when complete dereverberation is required depends on the direct-to-reverberation ratio of the acoustic impulse response between the source and the reference microphone. The performance evaluation supports the theoretical analysis and demonstrates the tradeoff between speech dereverberation and noise reduction. 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The MVDR beamformer can be used for both speech dereverberation and noise reduction. This paper provides new insights into the MVDR beamformer. Specifically, the local and global behavior of the MVDR beamformer is analyzed and novel forms of the MVDR filter are derived and discussed. In earlier works it was observed that there is a tradeoff between the amount of speech dereverberation and noise reduction when the MVDR beamformer is used. Here, the tradeoff between speech dereverberation and noise reduction is analyzed thoroughly. The local and global behavior, as well as the tradeoff, is analyzed for different noise fields such as, for example, a mixture of coherent and non-coherent noise fields, entirely non-coherent noise fields and diffuse noise fields. It is shown that maximum noise reduction is achieved when the MVDR beamformer is used for noise reduction only. The amount of noise reduction that is sacrificed when complete dereverberation is required depends on the direct-to-reverberation ratio of the acoustic impulse response between the source and the reference microphone. The performance evaluation supports the theoretical analysis and demonstrates the tradeoff between speech dereverberation and noise reduction. When desiring both speech dereverberation and noise reduction, the results also demonstrate that the amount of noise reduction that is sacrificed decreases when the number of microphones increases.</description><subject>Acoustic distortion</subject><subject>Acoustic noise</subject><subject>Applied sciences</subject><subject>Beamforming</subject><subject>Detection, estimation, filtering, equalization, prediction</subject><subject>Exact sciences and technology</subject><subject>Filters</subject><subject>Information, signal and communications theory</subject><subject>Microphone arrays</subject><subject>minimum variance distortionless response (MVDR) filter</subject><subject>Miscellaneous</subject><subject>Noise reduction</subject><subject>Pearson correlation coefficient</subject><subject>Power generation</subject><subject>Sensor arrays</subject><subject>Signal and communications theory</subject><subject>Signal processing</subject><subject>Signal, noise</subject><subject>Speech analysis</subject><subject>speech dereverberation</subject><subject>Speech enhancement</subject><subject>Speech processing</subject><subject>Telecommunications and information theory</subject><issn>1558-7916</issn><issn>1558-7924</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kEtPwzAQhC0EEqXwAxCXXOCW4lec-FjKq1IBqRSuluOsqVESFzsV4t-TKlUvuyPtzGj1IXRJ8IQQLG9X0_fFhGIs-0F5zsgRGpEsK9JcUn580EScorMYvzHmTHAyQvkr_CbzNrqvdRd70fmkW0Py8nm_TO5AN9aHBkLi2mTpfZNMjd_Gzpl4jk6sriNc7PcYfTw-rGbP6eLtaT6bLlLDqOhSkLlgJatswQsrMTEaCsCWGstpYZiorCgth8qWuamgrITkuJC85EC4rSrNxuhm6N0E_7OF2KnGRQN1rVvoX1FMME4oz3ojGYwm-BgDWLUJrtHhTxGsdojUDpHaIVJ7RH3mel-uo9G1Dbo1Lh6ClDJZ0Iz1vqvB5wDgcM6wyJmQ7B8xlm8X</recordid><startdate>201001</startdate><enddate>201001</enddate><creator>Habets, E.</creator><creator>Benesty, J.</creator><creator>Cohen, I.</creator><creator>Gannot, S.</creator><creator>Dmochowski, J.</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>201001</creationdate><title>New Insights Into the MVDR Beamformer in Room Acoustics</title><author>Habets, E. ; Benesty, J. ; Cohen, I. ; Gannot, S. ; Dmochowski, J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c326t-e9763b3df848f901cae8e0f2cf428c36df6bf4edfb7cdebd6940894b4e14fdda3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Acoustic distortion</topic><topic>Acoustic noise</topic><topic>Applied sciences</topic><topic>Beamforming</topic><topic>Detection, estimation, filtering, equalization, prediction</topic><topic>Exact sciences and technology</topic><topic>Filters</topic><topic>Information, signal and communications theory</topic><topic>Microphone arrays</topic><topic>minimum variance distortionless response (MVDR) filter</topic><topic>Miscellaneous</topic><topic>Noise reduction</topic><topic>Pearson correlation coefficient</topic><topic>Power generation</topic><topic>Sensor arrays</topic><topic>Signal and communications theory</topic><topic>Signal processing</topic><topic>Signal, noise</topic><topic>Speech analysis</topic><topic>speech dereverberation</topic><topic>Speech enhancement</topic><topic>Speech processing</topic><topic>Telecommunications and information theory</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Habets, E.</creatorcontrib><creatorcontrib>Benesty, J.</creatorcontrib><creatorcontrib>Cohen, I.</creatorcontrib><creatorcontrib>Gannot, S.</creatorcontrib><creatorcontrib>Dmochowski, J.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>IEEE transactions on audio, speech, and language processing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Habets, E.</au><au>Benesty, J.</au><au>Cohen, I.</au><au>Gannot, S.</au><au>Dmochowski, J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>New Insights Into the MVDR Beamformer in Room Acoustics</atitle><jtitle>IEEE transactions on audio, speech, and language processing</jtitle><stitle>TASL</stitle><date>2010-01</date><risdate>2010</risdate><volume>18</volume><issue>1</issue><spage>158</spage><epage>170</epage><pages>158-170</pages><issn>1558-7916</issn><eissn>1558-7924</eissn><coden>ITASD8</coden><abstract>The minimum variance distortionless response (MVDR) beamformer, also known as Capon's beamformer, is widely studied in the area of speech enhancement. The MVDR beamformer can be used for both speech dereverberation and noise reduction. This paper provides new insights into the MVDR beamformer. Specifically, the local and global behavior of the MVDR beamformer is analyzed and novel forms of the MVDR filter are derived and discussed. In earlier works it was observed that there is a tradeoff between the amount of speech dereverberation and noise reduction when the MVDR beamformer is used. Here, the tradeoff between speech dereverberation and noise reduction is analyzed thoroughly. The local and global behavior, as well as the tradeoff, is analyzed for different noise fields such as, for example, a mixture of coherent and non-coherent noise fields, entirely non-coherent noise fields and diffuse noise fields. It is shown that maximum noise reduction is achieved when the MVDR beamformer is used for noise reduction only. The amount of noise reduction that is sacrificed when complete dereverberation is required depends on the direct-to-reverberation ratio of the acoustic impulse response between the source and the reference microphone. The performance evaluation supports the theoretical analysis and demonstrates the tradeoff between speech dereverberation and noise reduction. When desiring both speech dereverberation and noise reduction, the results also demonstrate that the amount of noise reduction that is sacrificed decreases when the number of microphones increases.</abstract><cop>Piscataway, NJ</cop><pub>IEEE</pub><doi>10.1109/TASL.2009.2024731</doi><tpages>13</tpages></addata></record> |
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subjects | Acoustic distortion Acoustic noise Applied sciences Beamforming Detection, estimation, filtering, equalization, prediction Exact sciences and technology Filters Information, signal and communications theory Microphone arrays minimum variance distortionless response (MVDR) filter Miscellaneous Noise reduction Pearson correlation coefficient Power generation Sensor arrays Signal and communications theory Signal processing Signal, noise Speech analysis speech dereverberation Speech enhancement Speech processing Telecommunications and information theory |
title | New Insights Into the MVDR Beamformer in Room Acoustics |
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