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Improvements on automatic speech segmentation at the phonetic level

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Improvements on automatic speech segmentation at the phonetic level

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dc.contributor.author Gómez Adrian, Jon Ander es_ES
dc.contributor.author Calvo Lance, Marcos es_ES
dc.date.accessioned 2014-05-16T09:15:15Z
dc.date.issued 2011
dc.identifier.isbn 978-3-642-25084-2
dc.identifier.issn 0302-9743
dc.identifier.uri http://hdl.handle.net/10251/37516
dc.description.abstract In this paper, we present some recent improvements in our automatic speech segmentation system, which only needs the speech signal and the phonetic sequence of each sentence of a corpus to be trained. It estimates a GMM by using all the sentences of the training subcorpus, where each Gaussian distribution represents an acoustic class, which probability densities are combined with a set of conditional probabilities in order to estimate the probability densities of the states of each phonetic unit. The initial values of the conditional probabilities are obtained by using a segmentation of each sentence assigning the same number of frames to each phonetic unit. A DTW algorithm fixes the phonetic boundaries using the known phonetic sequence. This DTW is a step inside an iterative process which aims to segment the corpus and re-estimate the conditional probabilities. The results presented here demonstrate that the system has a good capacity to learn how to identify the phonetic boundaries. © 2011 Springer-Verlag. es_ES
dc.description.sponsorship This work was supported by the Spanish MICINN under contract TIN2008-06856-C05-02
dc.format.extent 8 es_ES
dc.language Inglés es_ES
dc.publisher Springer Verlag (Germany) es_ES
dc.relation.ispartof Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications es_ES
dc.relation.ispartofseries Lecture Notes in Computer Science;7042
dc.rights Reserva de todos los derechos es_ES
dc.subject Automatic speech segmentation es_ES
dc.subject Phoneme boundaries detection es_ES
dc.subject Phoneme alignment es_ES
dc.subject Conditional probabilities es_ES
dc.subject Initial values es_ES
dc.subject Iterative process es_ES
dc.subject Phonetic level es_ES
dc.subject Probability densities es_ES
dc.subject Speech signals es_ES
dc.subject Computer vision es_ES
dc.subject Estimation es_ES
dc.subject Image segmentation es_ES
dc.subject Probability distributions es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title Improvements on automatic speech segmentation at the phonetic level es_ES
dc.type Capítulo de libro es_ES
dc.embargo.lift 10000-01-01
dc.embargo.terms forever es_ES
dc.identifier.doi 10.1007/978-3-642-25085-9_66
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//TIN2008-06856-C05-02/ES/SISTEMAS BASADOS EN LA INTERACCION ORAL DINAMICAMENTE MEJORABLES Y ADAPTABLES A NUEVOS CONTEXTOS/ 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 Gómez Adrian, JA.; Calvo Lance, M. (2011). Improvements on automatic speech segmentation at the phonetic level. En Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. Springer Verlag (Germany). 7042:557-564. https://doi.org/10.1007/978-3-642-25085-9_66 es_ES
dc.description.accrualMethod S es_ES
dc.relation.conferencename 16th Iberoamerican Congress, CIARP 2011 es_ES
dc.relation.conferencedate November 15-18, 2011 es_ES
dc.relation.conferenceplace Pucón, Chile es_ES
dc.relation.publisherversion http://link.springer.com/chapter/10.1007/978-3-642-25085-9_66 es_ES
dc.description.upvformatpinicio 557 es_ES
dc.description.upvformatpfin 564 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 7042 es_ES
dc.relation.senia 211330
dc.contributor.funder Ministerio de Ciencia e Innovación
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