Speech recognition using dynamical model of speech production
Ken-ichi Iso · IEEE International Conference on Acoustics Speech and Signal Processing · 1993
The model consists of an articulator and its control command sequences. The latter has linguistic information of speech and the former has the articulatory information which determines the transformation from linguistic intentions to speech signals. This separation allows the speech recognition model to be more controllable. It also provides new approaches to coarticulation modeling. The effectiveness of the proposed model was examined by speaker-independent letter recognition experiments.>