Quality prediction of synthesized speech based on tensor structured EEG signals

This study investigates quality prediction methods for synthesized speech using EEG. Training a predictive model using EEG is challenging due to a small number of training trials, a low signal-to-noise ratio, and a high correlation among independent variables. When a predictive model is trained with...

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Detalles Bibliográficos
Autores principales: Maki, Hayato, Sakti, Sakriani, Tanaka, Hiroki, Nakamura, Satoshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6002021/
https://www.ncbi.nlm.nih.gov/pubmed/29902169
http://dx.doi.org/10.1371/journal.pone.0193521

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6002021/
https://www.ncbi.nlm.nih.gov/pubmed/29902169
http://dx.doi.org/10.1371/journal.pone.0193521

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