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The MLLP system for the 4th CHiME Challenge

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The MLLP system for the 4th CHiME Challenge

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dc.contributor.author Del-Agua, Miguel Ángel es_ES
dc.contributor.author Martínez-Villaronga, Adrià es_ES
dc.contributor.author Giménez Pastor, Adrián es_ES
dc.contributor.author Sanchis Navarro, José Alberto es_ES
dc.contributor.author Civera Saiz, Jorge es_ES
dc.contributor.author Juan, Alfons es_ES
dc.date.accessioned 2021-11-24T07:50:20Z
dc.date.available 2021-11-24T07:50:20Z
dc.date.issued 2016-09-13 es_ES
dc.identifier.isbn 978-2-9557814-0-1 es_ES
dc.identifier.uri http://hdl.handle.net/10251/177497
dc.description.abstract [EN] The MLLP CHiME-4 system is presented in this paper. It has been built using the transLectures-UPV toolkit (TLK) developed by the MLLP research group which makes use of stateof-the-art automatic speech recognition techniques. Our best system built for the CHiME-4 challenge consists on the combination of two different sub-systems in order to deal with the variety of acoustic conditions. Each sub-system in turn, follows a hybrid approach with different acoustic models, such as Deep Neural Networks or BLSTM Networks. es_ES
dc.description.sponsorship The work leading to this invention has received funding from the European Union Seventh Framework Programme (FP7/2007- 2013) under grant agreement no 287755 (transLectures). Also, it has received funding from the EU¿s ICT Policy Support Programme as part of the Competitiveness and Innovation Framework Programme under grant agreement no 621030 (EMMA). In addition, this work has been supported by the Spanish research project MORE TIN2015-68326-R (MINECO/FEDER) and the Spanish Government with the FPU scholarship FPU13/06241. es_ES
dc.language Inglés es_ES
dc.publisher CHiME es_ES
dc.relation.ispartof Proceedings of the 4th International Workshop on Speech Processing in Everyday Environments, CHiME 2016, San Francisco, 13th September 2016 es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Automatic speech recognition es_ES
dc.subject BLSTMs es_ES
dc.subject Deep neural networks es_ES
dc.subject WSJ es_ES
dc.subject.classification CIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIAL es_ES
dc.subject.classification BIBLIOTECONOMIA Y DOCUMENTACION es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title The MLLP system for the 4th CHiME Challenge es_ES
dc.type Comunicación en congreso es_ES
dc.type Capítulo de libro es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/287755/EU/Transcription and Translation of Video Lectures/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/COMISION DE LAS COMUNIDADES EUROPEA//621030//European Multiple MOOC Aggregator/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MECD//FPU13%2F06241/ES/FPU13%2F06241/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//TIN2015-68326-R/ES/RECURSOS MULTILINGUES ABIERTOS PARA EDUCACION/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.description.bibliographicCitation Del-Agua, MÁ.; Martínez-Villaronga, A.; Giménez Pastor, A.; Sanchis Navarro, JA.; Civera Saiz, J.; Juan, A. (2016). The MLLP system for the 4th CHiME Challenge. CHiME. 57-59. http://hdl.handle.net/10251/177497 es_ES
dc.description.accrualMethod S es_ES
dc.relation.conferencename 4th CHiME Speech Separation and Recognition Challenge es_ES
dc.relation.conferencedate Septiembre 13-13,2016 es_ES
dc.relation.conferenceplace San Francisco, USA es_ES
dc.relation.publisherversion http://spandh.dcs.shef.ac.uk/chime_workshop/chime2016/proceedings.html es_ES
dc.description.upvformatpinicio 57 es_ES
dc.description.upvformatpfin 59 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.pasarela S\320859 es_ES
dc.contributor.funder MINISTERIO DE EDUCACION es_ES
dc.contributor.funder MINISTERIO DE ECONOMIA Y EMPRESA es_ES
dc.contributor.funder European Regional Development Fund es_ES
dc.contributor.funder COMISION DE LAS COMUNIDADES EUROPEA es_ES


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