An articulatory-based speech recognizer is presented which uses features derived from electromagnetic articulography. Results indicate that articulatory features can significantly improve the recognition performance if they are explicitly known. Experiments to estimate the articulatory features from the acoustic signal are described which manifest the problems involved in modeling the acoustic-articulatory relationship.
Keywords: speech recognition, articulatory features, electromagnetic articulography, articulatory estimation