sign-lang@LREC Anthology

Synthesis for the Kinematic Control of Identity in Sign Language

Bigand, Félix | Prigent, Elise | Braffort, Annelies


Volume:
Proceedings of the 7th International Workshop on Sign Language Translation and Avatar Technology: The Junction of the Visual and the Textual: Challenges and Perspectives
Venue:
Marseille, France
Date:
24 June 2022
Pages:
1–6
Publisher:
European Language Resources Association (ELRA)
License:
CC BY-NC 4.0
ACL ID:
2022.sltat-1.1
ISBN:
979-10-95546-82-5

Content Categories

Projects:
ROSETTA
Languages:
French Sign Language
Corpora:
MOCAP1

Abstract

Sign Language (SL) animations generated from motion capture (mocap) of real signers convey critical information about their identity. It has been suggested that this information is mostly carried by statistics of the movements kinematics. Manipulating these statistics in the generation of SL movements could allow controlling the identity of the signer, notably to preserve anonymity. This paper tests this hypothesis by presenting a novel synthesis algorithm that manipulates the identity-specific statistics of mocap recordings. The algorithm produced convincing new versions of French Sign Language discourses, which accurately modulated the identity prediction of a machine learning model. These results open up promising perspectives toward the automatic control of identity in the motion animation of virtual signers.

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BibTeX Export

@inproceedings{bigand:70004:sltat:lrec,
  author    = {Bigand, F{\'e}lix and Prigent, Elise and Braffort, Annelies},
  title     = {Synthesis for the Kinematic Control of Identity in Sign Language},
  pages     = {1--6},
  editor    = {Efthimiou, Eleni and Fotinea, Stavroula-Evita and Hanke, Thomas and McDonald, John C. and Shterionov, Dimitar and Wolfe, Rosalee},
  booktitle = {Proceedings of the 7th International Workshop on Sign Language Translation and Avatar Technology: The Junction of the Visual and the Textual: Challenges and Perspectives},
  maintitle = {13th International Conference on Language Resources and Evaluation ({LREC} 2022)},
  publisher = {{European Language Resources Association (ELRA)}},
  address   = {Marseille, France},
  day       = {24},
  month     = jun,
  year      = {2022},
  isbn      = {979-10-95546-82-5},
  language  = {english},
  url       = {http://www.lrec-conf.org/proceedings/lrec2022/workshops/sltat/pdf/2022.sltat-1.1}
}
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