Continuous episodic memory based speech recognition using articulatory dynamics

Sébastien Demange 1 Slim Ouni 1
1 PAROLE - Analysis, perception and recognition of speech
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : 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 ar- ticulatory dynamics of speech are structurally embodied within episodic memories. The proposed recognizer is made of differ- ent 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 per- form 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.
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Sébastien Demange, Slim Ouni. Continuous episodic memory based speech recognition using articulatory dynamics. 12th Annual Conference of the International Speech Communication Association - Interspeech 2011, Aug 2011, Florence, Italy. ⟨inria-00602414⟩

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