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...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2018-01-01
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Series: | PLoS ONE |
Online Access: | http://europepmc.org/articles/PMC6002021?pdf=render |