Adaptation of natural articulatory movements to the control of the command parameters of a production model

A number of experiments have shown the importance of the use of speech production models for automatic speech recognition ([1],[4],[6]). This work is very interesting for the concise representation of the sound coarticulation phenomena in continuous speech. Maeda’s statistical model [5] has been chosen to conduct our experiments. The first part of the paper focusses on adjusting the model configurations characterizing the French vocalic sounds in an optimum way so as to minimize the acoustic distances from the phonemes produced by a speaker. The second part provides a control strategy for Maeda's model command parameters.