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Avoiding speaker variability in pronunciation verification of children's disordered speech

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dc.creatorSaz, Oscarspa
dc.creatorLleida, Eduardospa
dc.creatorRodríguez-Dueñas, William R.spa
dc.date.accessioned2020-08-28T15:47:55Z
dc.date.available2020-08-28T15:47:55Z
dc.date.created2009-11spa
dc.description.abstractThis paper deals with the problematic of speaker variability in a task of pronunciation verification for the speech therapy of children and young adults in Computer-Aided Pronunciation Training (CAPT) tools. The baseline system evaluates two different score normalization techniques: Traditional Test normalization (T-norm), and a novel Nbest based normalization that outperforms the first by normalizing to the log-likelihood score of the first alternative phoneme in an unconstrained N-best list. When performing speaker adaptation, the use of all the adaptation data from the speaker improves the performance measured in Equal Error Rate (EER) of these systems compared to the speaker independent systems; but this can be outperformed by more precise models that only adapt to the correctly pronounced phonetic units as labeled by a set of human experts. The best EER obtained in all experiments is 15.63% when using both elements: Score normalization and speaker adaptation. The possibility of automatizing a more precise adaptation without the human intervention is finally proposed and discussed.eng
dc.format.mimetypeapplication/pdf
dc.identifier.doihttps://doi.org/10.1145/1640377.1640388
dc.identifier.issnISBN: 978-1-60558-690-8
dc.identifier.urihttps://repository.urosario.edu.co/handle/10336/28304
dc.language.isoengspa
dc.publisherAssociation for Computing Machineryspa
dc.relation.citationTitleWOCCI `09: Proceedings of the 2nd Workshop on Child, Computer and Interaction;CMI-MLMI `09: International Conference On Multimodal Interfaces/Workshop On Machine Learning For Multimodal Interfaces Cambridge Massachusetts (November, 2009)
dc.relation.ispartofWOCCI '09: Proceedings of the 2nd Workshop on Child, Computer and Interactionspa
dc.relation.ispartofCMI-MLMI '09: International Conference On Multimodal Interfaces/Workshop On Machine Learning For Multimodal Interfaces Cambridge Massachusetts, ISBN: 978-1-60558-690-89 (2009); pp. 1-5spa
dc.relation.urihttps://dl.acm.org/doi/10.1145/1640377.1640388spa
dc.rights.accesRightsinfo:eu-repo/semantics/restrictedAccess
dc.rights.accesoRestringido (Acceso a grupos específicos)spa
dc.sourceWOCCI '09: Proceedings of the 2nd Workshop on Child, Computer and Interactionspa
dc.sourceCMI-MLMI '09: International Conference On Multimodal Interfaces/Workshop On Machine Learning For Multimodal Interfaces Cambridge Massachusetts (November, 2009)spa
dc.source.instnameinstname:Universidad del Rosario
dc.source.reponamereponame:Repositorio Institucional EdocUR
dc.subject.keywordPronunciation evaluationspa
dc.subject.keywordChildren speechspa
dc.subject.keywordSpeech disordersspa
dc.titleAvoiding speaker variability in pronunciation verification of children's disordered speechspa
dc.title.TranslatedTitleEvitar la variabilidad del hablante en la verificación de la pronunciación del habla desordenada de los niñosspa
dc.typearticleeng
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersion
dc.type.spaArtículospa
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