<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-14T04:28:52Z</responseDate><request verb="GetRecord" identifier="oai:www.recercat.cat:2117/88768" metadataPrefix="oai_dc">https://recercat.cat/oai/request</request><GetRecord><record><header><identifier>oai:recercat.cat:2117/88768</identifier><datestamp>2025-07-17T13:00:57Z</datestamp><setSpec>com_2072_1033</setSpec><setSpec>col_2072_452950</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Reconocimiento robusto del habla en presencia de ruido de coche</dc:title>
   <dc:creator>Hernando Pericás, Francisco Javier</dc:creator>
   <dc:creator>Nadeu Camprubí, Climent</dc:creator>
   <dc:contributor>Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions</dc:contributor>
   <dc:contributor>Universitat Politècnica de Catalunya. VEU - Grup de Tractament de la Parla</dc:contributor>
   <dc:subject>Àrees temàtiques de la UPC::Enginyeria de la telecomunicació</dc:subject>
   <dc:subject>Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la parla i del senyal acústic</dc:subject>
   <dc:subject>Speech processing systems</dc:subject>
   <dc:subject>Noise control</dc:subject>
   <dc:subject>Processament de la parla</dc:subject>
   <dc:subject>Soroll--Control</dc:subject>
   <dc:description>The performance of existing speech recognition systems degrades rapidly in the presence of background noise when training and testing cannot be done under the same ambient conditions. The aim of this paper is to report the application of several robust techniques on a system based on the HMM (Hidden Markov Models) and VQ (Vector Quatization) approaches for speech recognition in car environment optimization of spectral model order and cepstral lifter, parameterizatrion based on the AR modeling of the autocorrelation sequence -proposed by the authors in [1]-, use of dynamic information and multilabeling.</dc:description>
   <dc:description>Peer Reviewed</dc:description>
   <dc:description>Postprint (published version)</dc:description>
   <dc:date>1993</dc:date>
   <dc:type>Conference report</dc:type>
   <dc:identifier>Hernando, J., Nadeu, C. Reconocimiento robusto del habla en presencia de ruido de coche. A: Simposium Nacional de la Unión Científica Internacional de Radio. "URSI 1993: Unión Científica Internacional de Radio: VII Symposium Nacional: Universidad Politécnica de Valencia: 22-24 septiembre de 1993". Valencia: 1993, p. 278-282.</dc:identifier>
   <dc:identifier>https://hdl.handle.net/2117/88768</dc:identifier>
   <dc:language>spa</dc:language>
   <dc:rights>http://creativecommons.org/licenses/by-nc-nd/3.0/es/</dc:rights>
   <dc:rights>Open Access</dc:rights>
   <dc:format>5 p.</dc:format>
   <dc:format>application/pdf</dc:format>
</oai_dc:dc></metadata></record></GetRecord></OAI-PMH>