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oai:recercat.cat:2117/1026262026-01-23T03:42:01Zcom_2072_1033col_2072_452950

Wavelet transforms for non-uniform speech recognition Javier, L Martí, J Nadeu Camprubí, Climent Lleida, E Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions Universitat Politècnica de Catalunya. VEU - Grup de Tractament de la Parla Àrees temàtiques de la UPC::Enginyeria de la telecomunicació Telecommunication Gaussian processes Speech recognition Speech processing Wavelet transforms Telecomunicació 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. Peer Reviewed Postprint (published version) 1996 Conference report 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. https://hdl.handle.net/2117/102626 10.1109/ICSLP.1996.607279 eng http://ieeexplore.ieee.org/document/607279/ http://creativecommons.org/licenses/by-nc-nd/3.0/es/ Open Access 4 p. application/pdf H. TIMOTHY BRUMMELL, WILLIAM IDSARDI CITATION DELAWARE, NEW CASTLE, DELAWARE