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

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.

Keywords

3D tongue model EMA articulatory feedback

Domains

Human-Computer Interaction [cs.HC] Linguistics

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ema-feedback.pdf (177.73 Ko)

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https://hal.science/hal-01377360

Submitted on : Sunday, December 18, 2016-12:59:28 AM

Last modification on : Monday, December 9, 2024-3:34:24 AM

Long-term archiving on : Tuesday, March 21, 2017-1:48:36 AM

Dates and versions

hal-01377360 , version 1 (18-12-2016)

Identifiers

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

Cite

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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