Wavelet transforms for non-uniform speech recognition

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To access the full text documents, please follow this link: http://hdl.handle.net/2117/102626

dc.contributor	Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.contributor	Universitat Politècnica de Catalunya. VEU - Grup de Tractament de la Parla
dc.contributor.author	Javier, L
dc.contributor.author	Martí, J
dc.contributor.author	Nadeu Camprubí, Climent
dc.contributor.author	Lleida, E
dc.date	1996
dc.identifier.citation	Javier, L., Martí, J., Nadeu, C., Lleida, E. Wavelet transforms for non-uniform speech recognition. A: International Conference on Spoken Language. "Fourth international conference on spoken language, 1996, ICSLP 96: proceedings". Philadelphia, PA: H. TIMOTHY BRUMMELL, WILLIAM IDSARDI CITATION DELAWARE, NEW CASTLE, DELAWARE, 1996, p. 2348-2351.
dc.identifier.citation	10.1109/ICSLP.1996.607279
dc.identifier.uri	http://hdl.handle.net/2117/102626
dc.language.iso	eng
dc.publisher	H. TIMOTHY BRUMMELL, WILLIAM IDSARDI CITATION DELAWARE, NEW CASTLE, DELAWARE
dc.relation	http://ieeexplore.ieee.org/document/607279/
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject	Àrees temàtiques de la UPC::Enginyeria de la telecomunicació
dc.subject	Telecommunication
dc.subject	Gaussian processes
dc.subject	Speech recognition
dc.subject	Speech processing
dc.subject	Wavelet transforms
dc.subject	Telecomunicació
dc.title	Wavelet transforms for non-uniform speech recognition
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.abstract	An algorithm for nonuniform speech segmentation and its application in speech recognition systems is presented. A method based on the Modulated Gaussian Wavelet Transform based Speech Analyser (MGWTSA) and the subsequent parametrization block is used to transform a uniform signal into a set of nonuniformly separated frames, with the accurate information being fed into a speech recognition system. The algorithm needs a frame characterizing the signal where necessary, trying to reduce the number of frames per signal as much as possible, without an appreciable reduction in the recognition rate of the system.
dc.description.abstract	Peer Reviewed

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