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dc.contributor.authorWojcicki, Kamilen_US
dc.contributor.authorShannon, Benen_US
dc.contributor.authorPaliwal, Kuldipen_US
dc.contributor.editorPaul Warren and Catherine I. Watsonen_US
dc.date.accessioned2017-05-03T13:01:09Z
dc.date.available2017-05-03T13:01:09Z
dc.date.issued2006en_US
dc.date.modified2011-05-06T06:45:23Z
dc.identifier.urihttp://hdl.handle.net/10072/13319
dc.description.abstractSpectral subtraction has the drawback that it introduces an unpleasant residual noise. This noise is a result of under-subtraction which occurs due to high variance of noise magnitude spectrum estimates. In this study we investigate a number of smoothing techniques that can be employed to reduce this variability. We extend the scope of this paper by using the phase spectrum in a novel manner along with the processed magnitude spectrum. This is based on recent findings which suggest that estimation of the phase spectrum using low dynamic range analysis windows (at 20-40ms window durations) is beneficial for speech enhancement. Using an objective speech quality measure and spectrogram analysis we show that the smoothing of noise magnitude spectrum estimates is an effective method of suppressing musical noise. We also show that the use of a low dynamic range analysis window for estimation of the phase spectrum of noisy speech results in a reduction of background noise. However, we found that combining the two techniques offers no advantage over spectral subtraction alone.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherASSTAen_US
dc.publisher.placeCanberra City, ACTen_US
dc.publisher.urihttp://www.assta.org/?q=sst-2006en_AU
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofconferencenameEleventh Australasian International Conference on Speech Science and Technologyen_US
dc.relation.ispartofconferencetitleProceedings of the 11th Australasian International Conference on Speech Science and Technoligyen_US
dc.relation.ispartofdatefrom2006-12-06en_US
dc.relation.ispartofdateto2006-12-08en_US
dc.relation.ispartoflocationAuckland, New Zealanden_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchcode280206en_US
dc.titleSpectral Subtraction With Variance Reduced Noise Spectrum Estimatesen_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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