Real-time speech signal analysis-synthesis of the Hoyer-Narris model using networked computers

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dc.contributor.author	Yip, A.W.
dc.contributor.author	Pendse, Ravi
dc.contributor.author	Hoyer, E.A.
dc.date.accessioned	2011-09-29T15:56:23Z
dc.date.available	2011-09-29T15:56:23Z
dc.date.issued	1997-08-06
dc.identifier.citation	Yip, 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.1997.662197	en_US
dc.identifier.isbn	0780336941
dc.identifier.uri	http://hdl.handle.net/10057/3848
dc.identifier.uri	http://dx.doi.org/10.1109/MWSCAS.1997.662197
dc.description	The 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=1045954	en_US
dc.description.abstract	The 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 model	en_US
dc.language.iso	en_US	en_US
dc.publisher	IEEE	en_US
dc.relation.ispartofseries	Circuits and Systems, 1997. Proceedings of the 40th Midwest Symposium on;vol.2, no., pp.806-809
dc.title	Real-time speech signal analysis-synthesis of the Hoyer-Narris model using networked computers	en_US
dc.type	Conference paper	en_US
dc.description.version	Peer reviewed article
dc.rights.holder	© IEEE, 1997