Acoustic-to-articulatory inversion using an episodic memory

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 : This paper presents a new acoustic-to-articulatory inversion method-based on an episodic memory, which is an interesting model for two reasons. First, it does not rely on any assumptions about the map- ping function but rather it relies on real synchronized acoustic and articulatory data streams. Second, the memory structurally embeds the naturalness of the articulatory dynamics. In addition, we introduce the concept of generative episodic memory, which enables the production of unseen articulatory trajectories according to the acoustic signals to be inverted. The proposed memory is evaluated on the MOCHA corpus. The results show its effectiveness and are very encouraging since they are comparable to those of recently proposed methods.
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https://hal.inria.fr/inria-00578740
Contributor : Slim Ouni <>
Submitted on : Tuesday, March 22, 2011 - 9:13:49 AM
Last modification on : Thursday, January 11, 2018 - 6:19:56 AM

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  • HAL Id : inria-00578740, version 1

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Sébastien Demange, Slim Ouni. Acoustic-to-articulatory inversion using an episodic memory. International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE - Signal Processing Society, May 2011, Prague, Czech Republic. ⟨inria-00578740⟩

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