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dc.contributor.authorYip, A.W.
dc.contributor.authorPendse, Ravi
dc.contributor.authorHoyer, E.A.
dc.date.accessioned2011-09-29T15:56:23Z
dc.date.available2011-09-29T15:56:23Z
dc.date.issued1997-08-06
dc.identifier.citationYip, A.W.; Pendse, R.; Hoyer, E.A.; , "Real-time speech signal analysis-synthesis of the Hoyer-Narris model using networked computers," Circuits and Systems, 1997. Proceedings of the 40th Midwest Symposium on , vol.2, no., pp.806-809 vol.2, 3-6 Aug 1997 doi: 10.1109/MWSCAS.1997.662197en_US
dc.identifier.isbn0780336941
dc.identifier.urihttp://hdl.handle.net/10057/3848
dc.identifier.urihttp://dx.doi.org/10.1109/MWSCAS.1997.662197
dc.descriptionThe full text of this article is not available on SOAR. WSU users can access the article via IEEE Xplore database licensed by University Libraries: http://libcat.wichita.edu/vwebv/holdingsInfo?bibId=1045954en_US
dc.description.abstractThe Hoyer-Harris model (H2M) extracts the fundamental information of the speech signal to provide the knowledge for speech signal processing. Because of the complex algorithm, real-time analysis is not possible on a personal computer. The parallel processing design using networked computers, is used to provide the “real-time” responses of the H2M modelen_US
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.relation.ispartofseriesCircuits and Systems, 1997. Proceedings of the 40th Midwest Symposium on;vol.2, no., pp.806-809
dc.titleReal-time speech signal analysis-synthesis of the Hoyer-Narris model using networked computersen_US
dc.typeConference paperen_US
dc.description.versionPeer reviewed article
dc.rights.holder© IEEE, 1997


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