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Přibil, J and Přibilová, A and Matoušek, J. : Detection of Artefacts in Czech Synthetic Speech Based on ANOVA Statistics . 38th International Conference on Telecommunications and Signal Processing (TSP 2015), 2015.

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Abstrakt

The paper describes an experiment with using the statistical approach based on analysis of variances (ANOVA) and hypothesis tests for detection of artefacts in the synthetic speech produced by the Czech text-to-speech system employing the unit selection principle. In addition, the paper analyses influence of different speech spectral features and supra-segmental parameters as well as the length of the feature vector on the resulting artefact detection accuracy. Other factors which can also have influence on stability of the artefact detection process are analysed, too. Obtained results of performed experiments confirm that the chosen concept works properly and the presented artefact detector can be used as an alternative to the standard listening tests.

Detail publikace

Název: Detection of Artefacts in Czech Synthetic Speech Based on ANOVA Statistics
Autor: Přibil, J ; Přibilová, A ; Matoušek, J.
Název - česky: Detekce artefaktů v české syntetické řeči založená na statistice ANOVA
Jazyk publikace: anglicky
Datum vydání: 9.6.2015
Rok vydání: 2015
Typ publikace: Stať ve sborníku
Název knihy: 38th International Conference on Telecommunications and Signal Processing (TSP 2015)
DOI: 10.1109/TSP.2015.7296377
ISBN: 978-1-4799-8498-5
Datum: 9.6.2015 - 11.6.2015
/ 2016-01-13 17:28:23 /

Klíčová slova

spectral features, prosodic parameters of speech, speech processing, statistical analysis

BibTeX

@INPROCEEDINGS{PribilJ_2015_Detectionof,
 author = {P\v{r}ibil, J and P\v{r}ibilov\'{a}, A and Matou\v{s}ek, J.},
 title = {Detection of Artefacts in Czech Synthetic Speech Based on ANOVA Statistics},
 year = {2015},
 booktitle = {38th International Conference on Telecommunications and Signal Processing (TSP 2015)},
 ISBN = {978-1-4799-8498-5},
 doi = {10.1109/TSP.2015.7296377},
 url = {http://www.kky.zcu.cz/en/publications/PribilJ_2015_Detectionof},
}