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Spoken dialog systems based on online generated stochastic finite-state transducers

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Spoken dialog systems based on online generated stochastic finite-state transducers

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Hurtado Oliver, LF.; Planells Lerma, J.; Segarra Soriano, E.; Sanchís Arnal, E. (2016). Spoken dialog systems based on online generated stochastic finite-state transducers. Speech Communication. 83:81-93. doi:10.1016/j.specom.2016.07.011.

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/82948

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Título: Spoken dialog systems based on online generated stochastic finite-state transducers
Autor:
Entidad UPV: Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors
Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica
Fecha difusión:
Resumen:
In this paper, we present an approach for the development of spoken dialog systems based on the statistical modelization of the dialog manager. This work focuses on three points: the modelization of the dialog manager ...[+]
Palabras clave: Spoken Dialog Systems , Dialog Management , Statistical Models , Stochastic Finite-State Transducers , User Simulation , Coverage Problems
Derechos de uso: Embargado
Fuente:
Speech Communication. (issn: 0167-6393 )
DOI: 10.1016/j.specom.2016.07.011
Editorial:
Elsevier
Versión del editor: http://dx.doi.org/10.1016/j.specom.2016.07.011
Descripción: This is the author’s version of a work that was accepted for publication in Speech Communication. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Speech Communication 83 (2016) 81–93. DOI 10.1016/j.specom.2016.07.011.
Patrocinador:
MINECO/ ASLP-MULAN: Audio, Speech and Language Processing for Multimedia Analytics/ TIN2014-54288-C4-3-R
Tipo: Artículo

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