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Přibil, J. and Přibilová, A. and Matoušek, J. : Experiment with Evaluation of Quality of the Synthetic Speech by the GMM Classifier . Text, Speech and Dialogue, Proceedings of the 16th International Conference TSD 2013, Lecture Notes in Artificial Intelligence, vol. 8082, p. 241-248, Springer, Berlin-Heidelberg, Germany, 2013.

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Abstract

This paper describes our experiment with using the Gaussian mixture models (GMM) for evaluation of the speech quality produced by different methods of speech synthesis and parameterization. In addition, the paper analyzes and compares influence of different types of features and different number of mixtures used for GMM evaluation. Finally, the GMM evaluation scores are compared with the results obtained by the conventional listening tests based on the mean opinion score (MOS) evaluations. Results of evaluations obtained by these two ways are in correspondence.

Detail of publication

Title: Experiment with Evaluation of Quality of the Synthetic Speech by the GMM Classifier
Author: Přibil, J. ; Přibilová, A. ; Matoušek, J.
Language: English
Date of publication: 5 Sep 2013
Year: 2013
Type of publication: Papers in journals
Book title: Text, Speech and Dialogue, Proceedings of the 16th International Conference TSD 2013
Series: Lecture Notes in Artificial Intelligence
Číslo vydání: 8082
Page: 241 - 248
DOI: 10.1007/978-3-642-40585-3_31
ISSN: 0302-9743
Publisher: Springer
Address: Berlin-Heidelberg, Germany
Date: 1 Sep 2013 - 5 Sep 2013
/ 2014-01-26 22:33:35 /

Keywords

GMM classifier, spectral, prosodic features of speech, synthetic speech evaluation

BibTeX

@INCOLLECTION{PribilJ_2013_Experimentwith,
 author = {P\v{r}ibil, J. and P\v{r}ibilov\'{a}, A. and Matou\v{s}ek, J.},
 title = {Experiment with Evaluation of Quality of the Synthetic Speech by the GMM Classifier},
 year = {2013},
 publisher = {Springer},
 address = {Berlin-Heidelberg, Germany},
 volume = {8082},
 pages = {241-248},
 booktitle = {Text, Speech and Dialogue, Proceedings of the 16th International Conference TSD 2013},
 series = {Lecture Notes in Artificial Intelligence},
 ISSN = {0302-9743},
 doi = {10.1007/978-3-642-40585-3_31},
 url = {http://www.kky.zcu.cz/en/publications/PribilJ_2013_Experimentwith},
}