Mapping the speech signal onto electromagnetic articulography trajectories using support vector regression

Authors:
Asterios Toutios;Konstantinos Margaritis
Affiliations:
Parallel and Distributed Processing Laboratory, Department of Applied Informatics, University of Macedonia, Thessaloniki, Greece;Parallel and Distributed Processing Laboratory, Department of Applied Informatics, University of Macedonia, Thessaloniki, Greece
Venue:
TSD'05 Proceedings of the 8th international conference on Text, Speech and Dialogue
Year:
2005

Citing 4
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Abstract

We report work on the mapping between the speech signal and articulatory trajectories from the MOCHA database. Contrasting previous works that used Neural Networks for the same task, we employ Support Vector Regression as our main tool, and Principal Component Analysis as an auxiliary one. Our results are comparable, even though, due to training time considerations we use only a small portion of the available data.