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dc.contributor.author | Sanchez-Cortina, Isaias![]() |
es_ES |
dc.contributor.author | Andrés Ferrer, Jesús![]() |
es_ES |
dc.contributor.author | Sanchis Navarro, José Alberto![]() |
es_ES |
dc.contributor.author | Juan Císcar, Alfonso![]() |
es_ES |
dc.date.accessioned | 2017-06-05T08:37:44Z | |
dc.date.available | 2017-06-05T08:37:44Z | |
dc.date.issued | 2016-05 | |
dc.identifier.issn | 0885-2308 | |
dc.identifier.uri | http://hdl.handle.net/10251/82320 | |
dc.description.abstract | [EN] Automatic speech recognition applications can benefit from a confidence measure (CM) to predict the reliability of the output. Previous works showed that a word-dependent native Bayes (NB) classifier outperforms the conventional word posterior probability as a CM. However, a discriminative formulation usually renders improved performance due to the available training techniques. Taking this into account, we propose a logistic regression (LR) classifier defined with simple input functions to approximate to the NB behaviour. Additionally, as a main contribution, we propose to adapt the CM to the speaker in cases in which it is possible to identify the speakers, such as online lecture repositories. The experiments have shown that speaker-adapted models outperform their non-adapted counterparts on two difficult tasks from English (videoLectures.net) and Spanish (poliMedia) educational lectures. They have also shown that the NB model is clearly superseded by the proposed LR classifier. | es_ES |
dc.description.sponsorship | The research leading to these results has received funding from the European Union Seventh Framework Programme (FP7/2007-2013) under grant agreement no 287755. Also supported by the Spanish MINECO (iTrans2 TIN2009-14511 and Active2Trans TIN2012-31723) research projects and the FPI Scholarship BES-2010-033005. | en_EN |
dc.language | Inglés | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation.ispartof | Computer Speech and Language | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Confidence measures | es_ES |
dc.subject | Speech recognition | es_ES |
dc.subject | Speaker adaptation | es_ES |
dc.subject | Log-linear models | es_ES |
dc.subject | Online video lectures | es_ES |
dc.subject.classification | ESTADISTICA E INVESTIGACION OPERATIVA | es_ES |
dc.subject.classification | LENGUAJES Y SISTEMAS INFORMATICOS | es_ES |
dc.title | Speaker-adapted confidence measures for speech recognition of video lectures | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1016/j.csl.2015.10.003 | |
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/MINECO//TIN2012-31723/ES/INTERACCION ACTIVA PARA TRANSCRIPCION DE HABLA Y TRADUCCION/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MICINN//TIN2009-14511/ES/Traduccion De Textos Y Transcripcion De Voz Interactivas/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MICINN//BES-2010-033005/ES/BES-2010-033005/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros Industriales - Escola Tècnica Superior d'Enginyers Industrials | 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. Escola Tècnica Superior d'Enginyeria Informàtica | es_ES |
dc.description.bibliographicCitation | Sanchez-Cortina, I.; Andrés Ferrer, J.; Sanchis Navarro, JA.; Juan Císcar, A. (2016). Speaker-adapted confidence measures for speech recognition of video lectures. Computer Speech and Language. 37:11-23. https://doi.org/10.1016/j.csl.2015.10.003 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | http://doi.org/10.1016/j.csl.2015.10.003 | es_ES |
dc.description.upvformatpinicio | 11 | es_ES |
dc.description.upvformatpfin | 23 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 37 | es_ES |
dc.relation.senia | 319915 | es_ES |
dc.identifier.eissn | 1095-8363 | |
dc.contributor.funder | European Commission | |
dc.contributor.funder | Ministerio de Economía y Competitividad | |
dc.contributor.funder | Ministerio de Ciencia e Innovación |