On the Acoustic-to-Electropalatographic Mapping

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.

• Type: Conference
• Year: 2005
• Where: NOLISP
• Authors: Asterios Toutios, Konstantinos G. Margaritis
• Keywords: NOLISP 2005, Signal Processing, Support Vector, Support Vector Classification, Support Vector Regression