On the acoustic-to-electropalatographic mapping

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:
NOLISP'05 Proceedings of the 3rd international conference on Non-Linear Analyses and Algorithms for Speech Processing
Year:
2005

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Abstract

Electropalatography is a well established technique for recording information on the patterns of contact between the tongue and the hard palate during speech. It leads to a stream of binary vectors, called electropalatograms. We are interested in the mapping from the acoustic signal to electropalatographic information. We present results on experiments using Support Vector Classification and a combination of Principal Component Analysis and Support Vector Regression.