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Continuous episodic memory based speech recognition using articulatory dynamics
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.
Cited literature [12 references]
https://hal.inria.fr/inria-00602414
Contributor : Slim Ouni <>
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
Contributor : Slim Ouni <>
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
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demange_ouni_interspeech11.pdf
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