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Filtro per: División Académica Ciencias Basicas e Ingenieria Cancella il filtro División Académica: Ciencias Basicas e Ingenieria Soggetto Speech synthesis Cancella il filtro Soggetto: Speech synthesis
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  1. Síntesis de voz basada en modelos ocultos de Markov y algoritmos de aprendizaje profundo

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    Descrizione: This thesis addresses the problem of improving the results of statistical parametric speech synthesis using deep learning algorithms. The subject has become more important in recent times due to the increasing presence of artificial voices in several devices and applications. In these, there is a need to refine the results...
    Soggetto: Aprendizaje automático (Inteligencia artificial), Machine learning, Síntesis de Voz, Speech synthesis, Modelos ocultos de Markov, and Hidden Markov models
    Creatore: Coto Jiménez, Marvin
    Collaboratore: Lara Velázquez, Pedro, Goddard Close, John Charles Henry, Mackinney Romero, René, and Rojas Cárdenas, Luis Martín
    Editore: Universidad Autónoma Metropolitana
    Posgrado: Doctorado en Ciencias y Tecnologias de la Informacion
    Lingua: spa
    Año de publicación: 2017
    Diritti: Acceso Abierto
    Licenza: Atribucion-NoComercial 4.0 Internacional (CC BY-NC 4.0)
    Tipo de Recurso: info:eu-repo/semantics/masterThesis
    Identifier: https://doi.org/10.24275/uami.dj52w4688