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  1. Síntesis de voz basada en modelos ocultos de Markov y algoritmos de aprendizaje profundo

    7p88cg53c?file=thumbnail
    Description: 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...
    Subject: Aprendizaje automático (Inteligencia artificial), Machine learning, Síntesis de Voz, Speech synthesis, Modelos ocultos de Markov, and Hidden Markov models
    Creator: Coto Jiménez, Marvin
    Contributor: Lara Velázquez, Pedro, Goddard Close, John Charles Henry, Mackinney Romero, René, and Rojas Cárdenas, Luis Martín
    Publisher: Universidad Autónoma Metropolitana
    Posgrado: Doctorado en Ciencias y Tecnologias de la Informacion
    Language: spa
    Año de publicación: 2017
    Rights Statement*: Acceso Abierto
    License: 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