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Article: Modifying the normalized covariance metric measure to account for nonlinear distortions introduced by noise-reduction algorithms

TitleModifying the normalized covariance metric measure to account for nonlinear distortions introduced by noise-reduction algorithms
Authors
KeywordsAdaptive thresholding
Gain-induced
Intelligibility scores
Noise-suppression algorithms
Normalized covariance
Issue Date2013
PublisherAcoustical Society of America. The Journal's web site is located at http://asa.aip.org/jasa.html
Citation
Journal of the Acoustical Society of America, 2013, v. 133 n. 5, p. EL405-EL411 How to Cite?
AbstractIn this study, two methods are proposed to modify the normalized covariance metric (NCM) measure to reduce the effects of gain-induced nonlinear distortions introduced by most noise-suppression algorithms. Considering that the gain-induced distortions behave differently dependent on the signal-to-noise ratio between the noise-reduced speech and the noise, the first approach introduces a penalty factor involving this ratio in the modified NCM measure. The second approach deemphasizes segments marked with amplification distortions that contribute less to intelligibility via adaptive thresholding. Significantly higher correlations with intelligibility scores were obtained from the modified NCM measures compared with the original NCM measures.
Persistent Identifierhttp://hdl.handle.net/10722/183164
ISSN
2015 Impact Factor: 1.572
2015 SCImago Journal Rankings: 0.938
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorChen, Fen_US
dc.contributor.authorHu, YIen_US
dc.date.accessioned2013-05-15T01:45:57Z-
dc.date.available2013-05-15T01:45:57Z-
dc.date.issued2013en_US
dc.identifier.citationJournal of the Acoustical Society of America, 2013, v. 133 n. 5, p. EL405-EL411en_US
dc.identifier.issn0001-4966-
dc.identifier.urihttp://hdl.handle.net/10722/183164-
dc.description.abstractIn this study, two methods are proposed to modify the normalized covariance metric (NCM) measure to reduce the effects of gain-induced nonlinear distortions introduced by most noise-suppression algorithms. Considering that the gain-induced distortions behave differently dependent on the signal-to-noise ratio between the noise-reduced speech and the noise, the first approach introduces a penalty factor involving this ratio in the modified NCM measure. The second approach deemphasizes segments marked with amplification distortions that contribute less to intelligibility via adaptive thresholding. Significantly higher correlations with intelligibility scores were obtained from the modified NCM measures compared with the original NCM measures.-
dc.languageengen_US
dc.publisherAcoustical Society of America. The Journal's web site is located at http://asa.aip.org/jasa.html-
dc.relation.ispartofJournal of the Acoustical Society of Americaen_US
dc.rightsJournal of the Acoustical Society of America. Copyright © Acoustical Society of America.-
dc.rightsAfter publication by ASA : Copyright (year) Acoustical Society of America. This article may be downloaded for personal use only. Any other use requires prior permission of the author and the Acoustical Society of America. along with the following message: The following article appeared in (citation of published article) and may be found at (URL/link for published article abstract). Prior to publication by ASA, the notice should state: The following article has been submitted to/accepted by [Name of Journal]. After it is published, it will be found at (URL/link to the entry page of the journal. For JASA: http://scitation.aip.org/JASA; for JASA Express Letters: http://scitation.aip.org/JASA-EL; for Proceedings of Meetings on Acoustics: http://scitation.aip.org/POMA.-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectAdaptive thresholding-
dc.subjectGain-induced-
dc.subjectIntelligibility scores-
dc.subjectNoise-suppression algorithms-
dc.subjectNormalized covariance-
dc.titleModifying the normalized covariance metric measure to account for nonlinear distortions introduced by noise-reduction algorithmsen_US
dc.typeArticleen_US
dc.identifier.emailChen, F: feichen1@hku.hken_US
dc.identifier.emailHu, YI: huy@uwm.edu-
dc.identifier.authorityChen, FF=rp01593en_US
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1121/1.4800189-
dc.identifier.pmid23656101-
dc.identifier.scopuseid_2-s2.0-84877620930-
dc.identifier.hkuros219365en_US
dc.identifier.volume133en_US
dc.identifier.issue5-
dc.identifier.spageEL405en_US
dc.identifier.epageEL411en_US
dc.identifier.isiWOS:000318555900011-
dc.publisher.placeUnited States-

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