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Multi-Track Bottom-Up Synthesis from Non-Flattened AZee Scores

Paritosh Sharma 1, 2 Michael Filhol 1, 2 
2 ILES - Information, Langue Ecrite et Signée
LISN - Laboratoire Interdisciplinaire des Sciences du Numérique, STL - Sciences et Technologies des Langues
Abstract : We present an algorithm to improve the pre-existing bottom-up animation system for AZee descriptions to synthesize sign language utterances. Our algorithm allows us to synthesize AZee descriptions by preserving the dynamics of underlying blocks. This bottom-up approach aims to deliver procedurally generated animations capable of generating any sign language utterance if an equivalent AZee description exists. The proposed algorithm is built upon the modules of an open-source animation toolkit and takes advantage of the integrated inverse kinematics solver and a non-linear editor.
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Conference papers
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Submitted on : Tuesday, July 12, 2022 - 9:26:49 PM
Last modification on : Wednesday, November 2, 2022 - 11:16:29 AM
Long-term archiving on: : Friday, October 14, 2022 - 10:32:28 AM


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  • HAL Id : hal-03721720, version 1


Paritosh Sharma, Michael Filhol. Multi-Track Bottom-Up Synthesis from Non-Flattened AZee Scores. 7th Workshop on Sign Language Translation and Avatar Technology: The Junction of the Visual & the Textual Challenges and Perspectives (SLTAT 7), Jun 2022, Marseille, France. ⟨hal-03721720⟩



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