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dc.contributor.authorShannon, Benen_US
dc.contributor.authorPaliwal, Kuldipen_US
dc.contributor.authorNadeu, Climenten_US
dc.contributor.editorRichard M. Sternen_US
dc.date.accessioned2017-05-03T13:01:08Z
dc.date.available2017-05-03T13:01:08Z
dc.date.issued2006en_US
dc.date.modified2009-09-21T05:47:35Z
dc.identifier.urihttp://hdl.handle.net/10072/13318
dc.description.abstractIn this paper, we propose a unique approach to enhance speech signals that have been corrupted by non-stationary noises. This approach is not based on a spectral subtraction algorithm, but on an algorithm that separates the speech signal and noise signal contributions in the autocorrelation domain. We call this technique the AR-HASE speech enhancement algorithm. In this initial study, we evaluate the performance of the new algorithm using the average PESQ score computed from 10 male utterances and 10 female utterances taken from the TIMIT database as a measure of speech quality. We test the algorithm using one broadband stationary noise and two non-stationary noises. We will show that the AR-HASE enhancement algorithm produces near transparent quality for clean speech, gives poor enhancement performance for broadband stationary noises, and gives significantly enhanced quality for the two nonstationary noises.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherISCA c/o Institute for Communication, University of Bonnen_US
dc.publisher.placeBonn Germanyen_US
dc.publisher.urihttp://www.isca-speech.org/archive/interspeech_2006/i06_1331.htmlen_US
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofconferencenameInterspeech 2006en_US
dc.relation.ispartofconferencetitleProceedings of the NInth International Conference on Spoken Language Processingen_US
dc.relation.ispartofdatefrom2006-09-17en_US
dc.relation.ispartofdateto2006-09-21en_US
dc.relation.ispartoflocationPittsburghen_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchcode280206en_US
dc.titleSpeech Enhancement Based on Spectral Estimation from Higher-lag Autocorrelationen_US
dc.typeConference outputen_US
dc.type.descriptionE1 - Conference Publications (HERDC)en_US
dc.type.codeE - Conference Publicationsen_US
gro.facultyGriffith Sciences, Griffith School of Engineeringen_US
gro.date.issued2006
gro.hasfulltextNo Full Text


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    Contains papers delivered by Griffith authors at national and international conferences.

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