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描述: | 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... |
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学科: | Aprendizaje automático (Inteligencia artificial), Machine learning, Síntesis de Voz, Speech synthesis, Modelos ocultos de Markov, and Hidden Markov models |
创造者: | Coto Jiménez, Marvin |
贡献者: | Lara Velázquez, Pedro, Goddard Close, John Charles Henry, Mackinney Romero, René, and Rojas Cárdenas, Luis Martín |
出版者: | Universidad Autónoma Metropolitana |
Posgrado: | Doctorado en Ciencias y Tecnologias de la Informacion |
语言: | spa |
Año de publicación: | 2017 |
权: | Acceso Abierto |
执照: | Atribucion-NoComercial 4.0 Internacional (CC BY-NC 4.0) |
Tipo de Recurso: | info:eu-repo/semantics/masterThesis |
识别码: | https://doi.org/10.24275/uami.dj52w4688 |