Publications
Detail of publication
Citation
p. 23-31, Springer, 2015. : Experiment with GMM-Based Artefact Localization in Czech Synthetic Speech . Text, Speech, and Dialogue, 18th International Conference, TSD 2015, Lecture Notes in Artificial Intelligence, vol. 9302,
Additional information
Abstract
The paper describes an experiment with using the statistical approach based on the Gaussian mixture models (GMM) for localization of artefacts in the synthetic speech produced by the Czech text-to-speech system employing the unit selection principle. In addition, the paper analyzes influence of different number of used GMM mixtures, and the influence of setting of the frame shift during the spectral feature analysis on the resulting artefact position accuracy. Obtained results of performed experiments confirm proper function of the chosen concept and the presented artefact position localizer can be used as an alternative to the standardly applied manual localization method.
Detail of publication
Title: | Experiment with GMM-Based Artefact Localization in Czech Synthetic Speech |
---|---|
Author: | Přibil, J ; Přibilová, A ; Matoušek, J. |
Language: | English |
Date of publication: | 14 Sep 2015 |
Year: | 2015 |
Type of publication: | Book Chapters |
Book title: | Text, Speech, and Dialogue, 18th International Conference, TSD 2015 |
Series: | Lecture Notes in Artificial Intelligence |
Číslo vydání: | 9302 |
Page: | 23 - 31 |
DOI: | 10.1007/978-3-319-24033-6_3 |
ISBN: | 978-3-319-24032-9 |
ISSN: | 0302-9743 |
Publisher: | Springer |
Date: | 14 Sep 2015 - 17 Sep 2015 |
Keywords
quality of synthetic speech, text-to-speech system, GMM classification, statistical analysis
BibTeX
@INCOLLECTION{PribilJ_2015_Experimentwith, author = {P\v{r}ibil, J and P\v{r}ibilov\'{a}, A and Matou\v{s}ek, J.}, title = {Experiment with GMM-Based Artefact Localization in Czech Synthetic Speech }, year = {2015}, publisher = {Springer}, volume = {9302}, pages = {23-31}, booktitle = {Text, Speech, and Dialogue, 18th International Conference, TSD 2015}, series = {Lecture Notes in Artificial Intelligence}, ISBN = {978-3-319-24032-9}, ISSN = {0302-9743}, doi = {10.1007/978-3-319-24033-6_3}, url = {http://www.kky.zcu.cz/en/publications/PribilJ_2015_Experimentwith}, }