Abstract
This paper deals with the automatic segmentation for Czech Concatenative speech synthesis. Statistical approach to speech segmentation using hidden Markov models (HMMs) is applied in the baseline system [1]. Several experiments that concern various issues in the process of building the segmentation system, such as speech parameterization or HMM initialization problems, are described here. An objective comparison of various experimental automatic and manual segmentations is performed to find out the best settings of the segmentation system with respect to our single-female-speaker continuous speech corpus.
This research was supported by the Grant Agency of Czech Republic No. 102/02/P134 and the Ministry of Education of Czech Republic, project No. MSM235200004.
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Matoušek, J., Tihelka, D., Psutka, J. (2003). Experiments with Automatic Segmentation for Czech Speech Synthesis. In: Matoušek, V., Mautner, P. (eds) Text, Speech and Dialogue. TSD 2003. Lecture Notes in Computer Science(), vol 2807. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39398-6_41
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DOI: https://doi.org/10.1007/978-3-540-39398-6_41
Publisher Name: Springer, Berlin, Heidelberg
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