Noise reduction based on spectral change
A noise reduction algorithm is designed for the aural enhancement of short-duration wideband signals. The signal of interest contains components possibly only a few milliseconds in duration and corrupted by a nonstationary noise background. The essence of the enhancement technique is a Wiener filter...
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| creator | Quatieri, T.F. Baxter, R.A. |
| description | A noise reduction algorithm is designed for the aural enhancement of short-duration wideband signals. The signal of interest contains components possibly only a few milliseconds in duration and corrupted by a nonstationary noise background. The essence of the enhancement technique is a Wiener filter that uses a desired signal spectrum whose estimation adapts to the "degree of stationarity" of the measured signal. The degree of stationarity is derived from a short-time spectral derivative measurement, motivated by sensitivity of biological systems to-spectral change. Adaptive filter design tradeoffs are described, reflecting the accuracy of signal attack, background fidelity, and perceptual quality of the desired signal. Residual representations for binaural presentation are also considered. |
| doi_str_mv | 10.1109/ASPAA.1997.625605 |
| format | Conference Proceeding |
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The signal of interest contains components possibly only a few milliseconds in duration and corrupted by a nonstationary noise background. The essence of the enhancement technique is a Wiener filter that uses a desired signal spectrum whose estimation adapts to the "degree of stationarity" of the measured signal. The degree of stationarity is derived from a short-time spectral derivative measurement, motivated by sensitivity of biological systems to-spectral change. Adaptive filter design tradeoffs are described, reflecting the accuracy of signal attack, background fidelity, and perceptual quality of the desired signal. 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Residual representations for binaural presentation are also considered.</description><subject>Algorithm design and analysis</subject><subject>Background noise</subject><subject>Laboratories</subject><subject>Noise measurement</subject><subject>Noise reduction</subject><subject>Nonlinear filters</subject><subject>Signal design</subject><subject>Wideband</subject><subject>Wiener filter</subject><subject>Yield estimation</subject><isbn>0780339088</isbn><isbn>9780780339088</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1997</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpjYJA0NNAzNDSw1HcMDnB01DO0tDTXMzMyNTMwZWbgMjC3MDA2tjSwsOBg4C0uzjIAAhNTU0MLM04GDb_8zOJUhaLUlNLkksz8PIWkxOLUFAUgo7ggNbmkKDFHITkjMS89lYeBNS0xpziVF0pzM0i5uYY4e-hmpqamxhcUZeYmFlXGQ-w0xisJANM0L2s</recordid><startdate>1997</startdate><enddate>1997</enddate><creator>Quatieri, T.F.</creator><creator>Baxter, R.A.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>1997</creationdate><title>Noise reduction based on spectral change</title><author>Quatieri, T.F. ; Baxter, R.A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-ieee_primary_6256053</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1997</creationdate><topic>Algorithm design and analysis</topic><topic>Background noise</topic><topic>Laboratories</topic><topic>Noise measurement</topic><topic>Noise reduction</topic><topic>Nonlinear filters</topic><topic>Signal design</topic><topic>Wideband</topic><topic>Wiener filter</topic><topic>Yield estimation</topic><toplevel>online_resources</toplevel><creatorcontrib>Quatieri, T.F.</creatorcontrib><creatorcontrib>Baxter, R.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 Xplore (Online service)</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>Quatieri, T.F.</au><au>Baxter, R.A.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Noise reduction based on spectral change</atitle><btitle>Proceedings of 1997 Workshop on Applications of Signal Processing to Audio and Acoustics</btitle><stitle>ASPAA</stitle><date>1997</date><risdate>1997</risdate><spage>4 pp.</spage><pages>4 pp.-</pages><isbn>0780339088</isbn><isbn>9780780339088</isbn><abstract>A noise reduction algorithm is designed for the aural enhancement of short-duration wideband signals. The signal of interest contains components possibly only a few milliseconds in duration and corrupted by a nonstationary noise background. The essence of the enhancement technique is a Wiener filter that uses a desired signal spectrum whose estimation adapts to the "degree of stationarity" of the measured signal. The degree of stationarity is derived from a short-time spectral derivative measurement, motivated by sensitivity of biological systems to-spectral change. Adaptive filter design tradeoffs are described, reflecting the accuracy of signal attack, background fidelity, and perceptual quality of the desired signal. Residual representations for binaural presentation are also considered.</abstract><pub>IEEE</pub><doi>10.1109/ASPAA.1997.625605</doi></addata></record> |
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| ispartof | Proceedings of 1997 Workshop on Applications of Signal Processing to Audio and Acoustics, 1997, p.4 pp. |
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| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Algorithm design and analysis Background noise Laboratories Noise measurement Noise reduction Nonlinear filters Signal design Wideband Wiener filter Yield estimation |
| title | Noise reduction based on spectral change |
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