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Asr based pronunciation evaluation with automatically generated competing vocabulary and classifier fusion

Identificadores del recurso

http://hdl.handle.net/10533/197747

doi: 10.1016/j.specom.2009.01.002

wos: WOS:000265988800001

issn: 0167-6393

Procedencia

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Ficha

Título:: Asr based pronunciation evaluation with automatically generated competing vocabulary and classifier fusion
Descripción:: In this paper, the application of automatic speech recognition (ASR) technology in computer aided pronunciation training (CAPT) is addressed. A method to automatically generate the competitive lexicon, required by an ASR engine to compare the pronunciation of a target word with its correct and wrong phonetic realizations, is proposed. In order to enable the efficient deployment of CAPT applications, the generation of this competitive lexicon does not require any human assistance or a priori information of mother language dependent error rules. Moreover, a Bayes based multi-classifier fusion approach to map ASR objective confidence scores to subjective evaluations in pronunciation assessment is presented. The method proposed here to generate a competitive lexicon given a target word leads to averaged subjective-objective score correlation equal to 0.67 and 0.82 with five and two levels of pronunciation quality, respectively. Finally, multi-classifier systems (MCS) provide a promising formal framework to combine poorly correlated scores in CAPT. When applied to ASR confidence metrics, MCS can lead to an increase of 2.4% and a reduction of 10.2% in subjective-objective score correlation and classification error, respectively, with two pronunciation quality levels. (c) 2009 Elsevier B.V. All rights reserved
Fuente:: SPEECH COMMUNICATION; reponame:Artículos CONICYT; instname:CONICYT Chile; instacron:CONICYT
Idioma:: English
Relación:: instname: Conicyt; reponame: Repositorio Digital RI2.0; info:eu-repo/grantAgreement/Fondef/D05I10243; info:eu-repo/semantics/dataset/hdl.handle.net/10533/93477
Ámbito geográfico o temporal:: NLD; AMSTERDAM
Autor/Productor:: Vivanco-Torres, Roberto; Becerra-Yoma, Nestor; Wuth-Sepúlveda, Jorge; Molina-Sánchez, Carlos
Editor:: ELSEVIER SCIENCE BV
Derechos:: info:eu-repo/semantics/openAccess
Fecha:: 2009
Tipo de recurso:: info:eu-repo/semantics/article; info:eu-repo/semantics/publishedVersion
About:: 2020-01-27T14:04:19Zhttp://www.openarchives.org/OAI/2.0/oai_dc/Artículos CONICYT - CONICYT Chile

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