Quality prediction of synthesized speech based on tensor structured EEG signals-Reference-Cited by-同舟云学术

Quality prediction of synthesized speech based on tensor structured EEG signals

Published:2018-06-14 Issue:6 Volume:13 Page:e0193521
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Maki Hayato^ORCID,Sakti Sakriani,Tanaka Hiroki,Nakamura Satoshi

Funder

Japan Society for the Promotion of Science (JP)

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference56 articles.

1. Red Book,1984

2. ITU-T Recommendation P.85. A Method for Subjective Performance Assesment of the Quality of the Speech Voice Output Devices. International Telecommunication Union. 1996.

3. The SUS test: A method for the assessment of text-to-speech synthesis intelligibility using Semantically Unpredictable Sentences;C Benoît;Speech Communication,1996

4. Mariniak A. A global framework for the assessment of synthetic speech without subjects. Proceedings of the third European Conference on Speech Communication and Technology. 1993.

5. Quality prediction of synthesized speech based on perceptual quality dimensions;C Norrenbrock;Speech Communication,2015

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