HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
Conference papers

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.
Complete list of metadata

Cited literature [12 references]  Display  Hide  Download

Contributor : Slim Ouni Connect in order to contact the contributor
Submitted on : Tuesday, October 6, 2015 - 3:39:07 PM
Last modification on : Friday, February 26, 2021 - 3:28:06 PM
Long-term archiving on: : Thursday, January 7, 2016 - 10:41:36 AM


Files produced by the author(s)


  • HAL Id : inria-00602414, version 1



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⟩



Record views


Files downloads