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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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| Publicado no: | PLoS One |
|---|---|
| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6002021/ https://ncbi.nlm.nih.gov/pubmed/29902169 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0193521 |
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