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Conference papers

A real-time framework for visual feedback of articulatory data using statistical shape models

Abstract : We present a novel open-source framework for visualizing electromagnetic articulography (EMA) data in real-time, with a modular framework and anatomically accurate tongue and palate models derived by multilinear subspace learning.
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https://hal.archives-ouvertes.fr/hal-01377360
Contributor : Alexander Hewer Connect in order to contact the contributor
Submitted on : Sunday, December 18, 2016 - 12:59:28 AM
Last modification on : Friday, February 4, 2022 - 3:24:41 AM
Long-term archiving on: : Tuesday, March 21, 2017 - 1:48:36 AM

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  • HAL Id : hal-01377360, version 1
  • ARXIV : 1612.06114

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Kristy James, Alexander Hewer, Ingmar Steiner, Stefanie Wuhrer. A real-time framework for visual feedback of articulatory data using statistical shape models. 17th Annual Conference of the International Speech Communication Association (Interspeech), Oct 2016, San Francisco, United States. pp.1569-1570. ⟨hal-01377360⟩

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