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dc.contributor.authorShannon, Benjamin J
dc.contributor.authorPaliwal, Kuldip K
dc.contributor.authorNadeu, Climent
dc.contributor.editorRichard M. Stern
dc.date.accessioned2017-05-03T13:01:08Z
dc.date.available2017-05-03T13:01:08Z
dc.date.issued2006
dc.date.modified2009-09-21T05:47:35Z
dc.identifier.isbn978-1-60423-449-7
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.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.languageEnglish
dc.language.isoeng
dc.publisherISCA c/o Institute for Communication, University of Bonn
dc.publisher.placeBonn Germany
dc.publisher.urihttp://www.isca-speech.org/archive/interspeech_2006/i06_1331.html
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofconferencename9th International Conference on Spoken Language Processing/INTERSPEECH 2006
dc.relation.ispartofconferencetitleINTERSPEECH 2006 AND 9TH INTERNATIONAL CONFERENCE ON SPOKEN LANGUAGE PROCESSING, VOLS 1-5
dc.relation.ispartofdatefrom2006
dc.relation.ispartofdateto2006-09-21
dc.relation.ispartoflocationPittsburgh, PA
dc.relation.ispartofpagefrom1427
dc.relation.ispartofpagefrom4 pages
dc.relation.ispartofpageto1430
dc.relation.ispartofpageto4 pages
dc.relation.ispartofvolume3
dc.rights.retentionY
dc.subject.fieldofresearchcode280206
dc.titleSpeech Enhancement Based on Spectral Estimation from Higher-lag Autocorrelation
dc.typeConference output
dc.type.descriptionE1 - Conferences
dc.type.codeE - Conference Publications
gro.facultyGriffith Sciences, Griffith School of Engineering
gro.date.issued2006
gro.hasfulltextNo Full Text
gro.griffith.authorPaliwal, Kuldip K.


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

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