Toward acoustic models for languages with limited linguistic resources

Abstract

This paper discuses preliminary results on acoustic models creation through acoustic models already in existence for another language. In this work we show as case of study, the creation of acoustic models for Mexican Spanish, tagging automatically the training corpus with a recognition system for French. The resulting set of acoustic models for Mexican Spanish has gathered promising results at the phonetic level, reaching a recognition rate of 71.81%. © Springer-Verlag Berlin Heidelberg 2005.