Show simple item record

dc.contributor.authorPaliwal, Kuldipen_US
dc.contributor.authorWojcicki, Kamilen_US
dc.contributor.editorK.J. Ray Lu and Todd Reeden_US
dc.date.accessioned2017-04-04T16:59:52Z
dc.date.available2017-04-04T16:59:52Z
dc.date.issued2007en_US
dc.date.modified2009-09-21T05:48:38Z
dc.identifier.doi10.1109/ICASSP.2007.367016en_AU
dc.identifier.urihttp://hdl.handle.net/10072/17416
dc.description.abstractThe short-time Fourier transform (STFT) of a speech signal has two components: the short-time magnitude spectrum and the short-time phase spectrum. It is traditionally believed that the short-timemagnitude spectrum plays the dominant role for speech perception at small window durations (20-40ms). However, recent perceptual studies have shown that the short-time phase spectrum can contribute as much to speech intelligibility as the short-time magnitude spectrum. It was observed that the use of the rectangular (non-tapered) analysis window for the computation of the short-time phase spectrum is more advantageous than the use of the Hamming (tapered) analysis window. This paper investigates the effect that the dynamic range of an analysis window has on the intelligibility of speech for phaseonly and magnitude-only stimuli. For this purpose, the Chebyshev analysis window with adjustable equi-ripple side-lobes is employed. Two types of magnitude-only stimuli are investigated: random phase and zero phase. It is shown that the intelligibility of the magnitudeonly stimuli constructed with zero phase is independent of the dynamic range of the analysis window, while the random phase stimuli are intelligible only for analysis windows with high dynamic range. This study also shows that for low dynamic range analysis windows, the short-time phase spectrum at small window durations (20-40ms) contributes as much as to speech intelligibility as the short-time magnitude spectrum.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.format.extent48 bytes
dc.format.extent221981 bytes
dc.format.mimetypetext/plain
dc.format.mimetypeapplication/pdf
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherIEEEen_US
dc.publisher.placeUSAen_US
dc.publisher.urihttp://ieeexplore.ieee.org/servlet/opac?punumber=4216989en_AU
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofconferencenameIEEE International Conference on Acoustics, Speech, and Signal Processingen_US
dc.relation.ispartofconferencetitleICASSP 2007 IEEE International Conference on Acoustics, Speech, and Signal Processingen_US
dc.relation.ispartofdatefrom2007-04-15en_US
dc.relation.ispartofdateto2007-04-20en_US
dc.relation.ispartoflocationHonolulu, USAen_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchcode280206en_US
dc.titleImportance of the dynamic range of an analysis window function for phase-only and magnitude-only reconstruction of speechen_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.rights.copyrightCopyright 2007 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_AU
gro.date.issued2007
gro.hasfulltextFull Text


Files in this item

This item appears in the following Collection(s)

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

Show simple item record