Abstract
This article describes a new approach to estimate F 0 curves using B-spline and Spline models characterized by a knot sequence and associated control points. The free parameters of the model are the number of knots and their location. The free-knot placement, which is a NP-hard problem, is done using a global MLE (Maximum Likelihood Estimation) within a simulated-annealing strategy. Experiments are conducted in a speech processing context on a 7000 syllables french corpus. We estimate the two challenging models for increasing values of the number of free parameters. We show that a B-spline model provides a slightly better improvement than the Spline model in terms of RMS error.
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© 2006 Springer-Verlag Berlin Heidelberg
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Lolive, D., Barbot, N., Boëffard, O. (2006). Comparing B-Spline and Spline Models for F0 Modelling. In: Sojka, P., Kopeček, I., Pala, K. (eds) Text, Speech and Dialogue. TSD 2006. Lecture Notes in Computer Science(), vol 4188. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11846406_53
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DOI: https://doi.org/10.1007/11846406_53
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-39090-9
Online ISBN: 978-3-540-39091-6
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