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.
The work has been supported by the Technology Agency of the Czech Republic, project No. TA01030476, the Grant Agency of the Slovak Academy of Sciences (VEGA 2/0090/11), and the Ministry of Education of the Slovak Republic (VEGA 1/0987/12).
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Přibil, J., Přibilová, A., Matoušek, J. (2013). Experiment with Evaluation of Quality of the Synthetic Speech by the GMM Classifier. In: Habernal, I., Matoušek, V. (eds) Text, Speech, and Dialogue. TSD 2013. Lecture Notes in Computer Science(), vol 8082. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40585-3_31
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DOI: https://doi.org/10.1007/978-3-642-40585-3_31
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