Abstract
In this paper, we present the results of a clustering experiment, the aim of which was to show whether or not the proximity of pitch contours is sufficient condition for perceptually smooth transitions at concatenation points in concatenative speech synthesis. The experiment was motivated by a previous finding which had shown that the support vector machine (SVM) classifiers are capable of separating with a high accuracy perceptually continuous and discontinuous joins using the pitch contours extracted from the vicinity of concatenation points as predictors. The experiment has shown that clustering of observations in a form of pitch contours represented in different scales using the euclidean distance as a metric does not prove to be a reliable way of identifying discontinuities at concatenation points.
This research was supported by the Grant Agency of the Czech Republic, project No. GAČR 102/09/0989; by the Technology Agency of the Czech Republic, project No. TA01030476. The work has also been supported by the grant of the University of West Bohemia, project No. SGS-2010-054.
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Legát, M., Matoušek, J. (2011). Identifying Concatenation Discontinuities by Hierarchical Divisive Clustering of Pitch Contours. In: Habernal, I., Matoušek, V. (eds) Text, Speech and Dialogue. TSD 2011. Lecture Notes in Computer Science(), vol 6836. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23538-2_22
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DOI: https://doi.org/10.1007/978-3-642-23538-2_22
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