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Filtro per: Jurado Rojas Cárdenas, Luis Martín Soggetto Speech synthesis

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

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