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

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