Estimating the energy contour of noise-corrupted speech signals by autocorrelation extrapolation
In processing noise-corrupted speech signals to enhance their intelligibility using a feature-based processing system, it has been determined that an important feature is the energy contour of the speech. That is, to improve intelligibility it is important that the processed signal have an energy co...
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| container_end_page | 2018 vol.3 |
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| container_start_page | 2015 |
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| creator | Dimino, S.A. Niederjohn, R.J. Heinen, J.A. |
| description | In processing noise-corrupted speech signals to enhance their intelligibility using a feature-based processing system, it has been determined that an important feature is the energy contour of the speech. That is, to improve intelligibility it is important that the processed signal have an energy contour that matches as closely as possible that of the original uncorrupted speech signal. A method is proposed which explicitly extrapolates the autocorrelation of the noise-corrupted signal to lag zero in order to estimate the noise variance. This noise variance is subtracted from the noisy energy contour to produce an estimate of the original energy contour. This method is shown to outperform conventional methods of noise variance estimation during speech, particularly in the case of high noise levels.< > |
| doi_str_mv | 10.1109/IECON.1993.339384 |
| format | Conference Proceeding |
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That is, to improve intelligibility it is important that the processed signal have an energy contour that matches as closely as possible that of the original uncorrupted speech signal. A method is proposed which explicitly extrapolates the autocorrelation of the noise-corrupted signal to lag zero in order to estimate the noise variance. This noise variance is subtracted from the noisy energy contour to produce an estimate of the original energy contour. This method is shown to outperform conventional methods of noise variance estimation during speech, particularly in the case of high noise levels.< ></description><identifier>ISBN: 0780308913</identifier><identifier>ISBN: 9780780308916</identifier><identifier>DOI: 10.1109/IECON.1993.339384</identifier><language>eng</language><publisher>IEEE</publisher><subject>Acoustic noise ; Autocorrelation ; Background noise ; Extrapolation ; Noise level ; Process design ; Signal processing ; Signal restoration ; Speech enhancement ; Speech processing</subject><ispartof>Proceedings of IECON '93 - 19th Annual Conference of IEEE Industrial Electronics, 1993, p.2015-2018 vol.3</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/339384$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2056,4048,4049,27924,54919</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/339384$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Dimino, S.A.</creatorcontrib><creatorcontrib>Niederjohn, R.J.</creatorcontrib><creatorcontrib>Heinen, J.A.</creatorcontrib><title>Estimating the energy contour of noise-corrupted speech signals by autocorrelation extrapolation</title><title>Proceedings of IECON '93 - 19th Annual Conference of IEEE Industrial Electronics</title><addtitle>IECON</addtitle><description>In processing noise-corrupted speech signals to enhance their intelligibility using a feature-based processing system, it has been determined that an important feature is the energy contour of the speech. That is, to improve intelligibility it is important that the processed signal have an energy contour that matches as closely as possible that of the original uncorrupted speech signal. A method is proposed which explicitly extrapolates the autocorrelation of the noise-corrupted signal to lag zero in order to estimate the noise variance. This noise variance is subtracted from the noisy energy contour to produce an estimate of the original energy contour. This method is shown to outperform conventional methods of noise variance estimation during speech, particularly in the case of high noise levels.< ></description><subject>Acoustic noise</subject><subject>Autocorrelation</subject><subject>Background noise</subject><subject>Extrapolation</subject><subject>Noise level</subject><subject>Process design</subject><subject>Signal processing</subject><subject>Signal restoration</subject><subject>Speech enhancement</subject><subject>Speech processing</subject><isbn>0780308913</isbn><isbn>9780780308916</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1993</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNp9Ts0OgjAYW2JM_OMB9PS9ALhloOxMMHrRi3dE_IAZ3Mg2Enl7MXi2l6Zp05aQNaMBY1RsT2lyOQdMCB5wLngcTsiC7mPKaSwYnxHP2icdEEY02sVzckutk6_cSVWBqxFQoal6KLRyujOgS1BaWvQLbUzXOnyAbRGLGqysVN5YuPeQd05_fWyGHq0A387krR7VikzLIYfej5dkc0ivydGXiJi1Zhg3fTZ-5X_ND52KRfE</recordid><startdate>1993</startdate><enddate>1993</enddate><creator>Dimino, S.A.</creator><creator>Niederjohn, R.J.</creator><creator>Heinen, J.A.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>1993</creationdate><title>Estimating the energy contour of noise-corrupted speech signals by autocorrelation extrapolation</title><author>Dimino, S.A. ; Niederjohn, R.J. ; Heinen, J.A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-ieee_primary_3393843</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1993</creationdate><topic>Acoustic noise</topic><topic>Autocorrelation</topic><topic>Background noise</topic><topic>Extrapolation</topic><topic>Noise level</topic><topic>Process design</topic><topic>Signal processing</topic><topic>Signal restoration</topic><topic>Speech enhancement</topic><topic>Speech processing</topic><toplevel>online_resources</toplevel><creatorcontrib>Dimino, S.A.</creatorcontrib><creatorcontrib>Niederjohn, R.J.</creatorcontrib><creatorcontrib>Heinen, J.A.</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>Dimino, S.A.</au><au>Niederjohn, R.J.</au><au>Heinen, J.A.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Estimating the energy contour of noise-corrupted speech signals by autocorrelation extrapolation</atitle><btitle>Proceedings of IECON '93 - 19th Annual Conference of IEEE Industrial Electronics</btitle><stitle>IECON</stitle><date>1993</date><risdate>1993</risdate><spage>2015</spage><epage>2018 vol.3</epage><pages>2015-2018 vol.3</pages><isbn>0780308913</isbn><isbn>9780780308916</isbn><abstract>In processing noise-corrupted speech signals to enhance their intelligibility using a feature-based processing system, it has been determined that an important feature is the energy contour of the speech. That is, to improve intelligibility it is important that the processed signal have an energy contour that matches as closely as possible that of the original uncorrupted speech signal. A method is proposed which explicitly extrapolates the autocorrelation of the noise-corrupted signal to lag zero in order to estimate the noise variance. This noise variance is subtracted from the noisy energy contour to produce an estimate of the original energy contour. This method is shown to outperform conventional methods of noise variance estimation during speech, particularly in the case of high noise levels.< ></abstract><pub>IEEE</pub><doi>10.1109/IECON.1993.339384</doi></addata></record> |
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| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Acoustic noise Autocorrelation Background noise Extrapolation Noise level Process design Signal processing Signal restoration Speech enhancement Speech processing |
| title | Estimating the energy contour of noise-corrupted speech signals by autocorrelation extrapolation |
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