In this paper we present a speech recognition system based on articulatory dynamics. We do not extend the acoustic feature with any explicit articulatory measurements but instead the articulatory dynamics of speech are structurally embodied within episodic memories. The proposed recognizer is made of different memories each specialized for a particular articulator. As all the articulators do not contribute equally to the realization of a particular phoneme, the specialized memories do not perform equally regarding each phoneme. We show, through phone string recognition experiments that combining the recognition hypotheses resulting from the different articulatory specialized memories leads to significant recognition improvements.
Bibliographic reference. Demange, Sébastien / Ouni, Slim (2011): "Continuous episodic memory based speech recognition using articulatory dynamics", In INTERSPEECH-2011, 2305-2308.