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Language model adaptation for lecture transcription by document retrieval

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Language model adaptation for lecture transcription by document retrieval

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dc.contributor.author Martínez-Villaronga, Adrià es_ES
dc.contributor.author Del Agua Teba, Miguel Angel es_ES
dc.contributor.author Silvestre Cerdà, Joan Albert es_ES
dc.contributor.author Andrés Ferrer, Jesús es_ES
dc.contributor.author Juan, Alfons es_ES
dc.date.accessioned 2015-05-21T18:19:52Z
dc.date.available 2015-05-21T18:19:52Z
dc.date.issued 2014
dc.identifier.issn 0302-9743
dc.identifier.uri http://hdl.handle.net/10251/50657
dc.description The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-13623-3_14 es_ES
dc.description.abstract With the spread of MOOCs and video lecture repositories it is more important than ever to have accurate methods for automatically transcribing video lectures. In this work, we propose a simple yet effective language model adaptation technique based on document retrieval from the web. This technique is combined with slide adaptation, and compared against a strong baseline language model and a stronger slide-adapted baseline. These adaptation techniques are compared within two different acoustic models: a standard HMM model and the CD-DNN-HMM model. The proposed method obtains improvements on WER of up to 14% relative with respect to a competitive baseline as well as outperforming slide adaptation. es_ES
dc.description.sponsorship The research leading to these results has received fund-ing from the European Union Seventh Framework Programme (FP7/2007-2013)under grant agreement no 287755 (transLectures) and ICT Policy Support Pro-gramme (ICT PSP/2007-2013) as part of the Competitiveness and Innovation Framework Programme (CIP) under grant agreement no 621030 (EMMA), the Spanish MINECO Active2Trans (TIN2012-31723) research project and the Spanish Government with the FPU scholarships FPU13/06241 and AP2010-4349. es_ES
dc.language Inglés es_ES
dc.publisher Springer Verlag (Germany) es_ES
dc.relation.ispartof Advances in Speech and Language Technologies for Iberian Languages es_ES
dc.relation.ispartofseries Lecture Notes in Computer Science;8854
dc.rights Reserva de todos los derechos es_ES
dc.subject Language model adaptation es_ES
dc.subject Video lectures es_ES
dc.subject Document retrieval es_ES
dc.subject.classification ESTADISTICA E INVESTIGACION OPERATIVA es_ES
dc.subject.classification CIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIAL es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title Language model adaptation for lecture transcription by document retrieval es_ES
dc.type Capítulo de libro es_ES
dc.identifier.doi 10.1007/978-3-319-13623-3_14
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/EC/CIP/621030/EU/European Multiple MOOC Aggregator/EMMA/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//TIN2012-31723/ES/INTERACCION ACTIVA PARA TRANSCRIPCION DE HABLA Y TRADUCCION/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MECD//FPU13%2F06241/ES/FPU13%2F06241/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MECD//AP2010-4349/ES/AP2010-4349/ 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.contributor.affiliation Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat es_ES
dc.description.bibliographicCitation Martínez-Villaronga, A.; Del Agua Teba, MA.; Silvestre Cerdà, JA.; Andrés Ferrer, J.; Juan, A. (2014). Language model adaptation for lecture transcription by document retrieval. En Advances in Speech and Language Technologies for Iberian Languages. Springer Verlag (Germany). 129-137. https://doi.org/10.1007/978-3-319-13623-3_14 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1007/978-3-319-13623-3_14 es_ES
dc.description.upvformatpinicio 129 es_ES
dc.description.upvformatpfin 137 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.senia 277410
dc.contributor.funder European Commission es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES
dc.contributor.funder Ministerio de Educación, Cultura y Deporte es_ES
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