@inproceedings{wolfe-etal-2022-supporting,
title = "Supporting Mouthing in Signed Languages: New innovations and a proposal for future corpus building",
author = "Wolfe, Rosalee and
McDonald, John and
Johnson, Ronan and
Sturr, Ben and
Klinghoffer, Syd and
Bonzani, Anthony and
Alexander, Andrew and
Barnekow, Nicole",
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",
month = jun,
year = "2022",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2022.sltat-1.19",
pages = "125--130",
abstract = "A recurring concern, oft repeated, regarding the quality of signing avatars is the lack of proper facial movements, particularly in actions that involve mouthing. An analysis uncovered three challenges contributing to the problem. The first is a difficulty in devising an algorithmic strategy for generating mouthing due to the rich variety of mouthings in sign language. For example, part or all of a spoken word may be mouthed depending on the sign language, the syllabic structure of the mouthed word, as well as the register of address and discourse setting. The second challenge was technological. Previous efforts to create avatar mouthing have failed to model the timing present in mouthing or have failed to properly model the mouth{'}s appearance. The third challenge is one of usability. Previous editing systems, when they existed, were time-consuming to use. This paper describes efforts to improve avatar mouthing by addressing these challenges, resulting in a new approach for mouthing animation. The paper concludes by proposing an experiment in corpus building using the new approach.",
}
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<title>Proceedings of the 7th International Workshop on Sign Language Translation and Avatar Technology: The Junction of the Visual and the Textual: Challenges and Perspectives</title>
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<abstract>A recurring concern, oft repeated, regarding the quality of signing avatars is the lack of proper facial movements, particularly in actions that involve mouthing. An analysis uncovered three challenges contributing to the problem. The first is a difficulty in devising an algorithmic strategy for generating mouthing due to the rich variety of mouthings in sign language. For example, part or all of a spoken word may be mouthed depending on the sign language, the syllabic structure of the mouthed word, as well as the register of address and discourse setting. The second challenge was technological. Previous efforts to create avatar mouthing have failed to model the timing present in mouthing or have failed to properly model the mouth’s appearance. The third challenge is one of usability. Previous editing systems, when they existed, were time-consuming to use. This paper describes efforts to improve avatar mouthing by addressing these challenges, resulting in a new approach for mouthing animation. The paper concludes by proposing an experiment in corpus building using the new approach.</abstract>
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%0 Conference Proceedings
%T Supporting Mouthing in Signed Languages: New innovations and a proposal for future corpus building
%A Wolfe, Rosalee
%A McDonald, John
%A Johnson, Ronan
%A Sturr, Ben
%A Klinghoffer, Syd
%A Bonzani, Anthony
%A Alexander, Andrew
%A Barnekow, Nicole
%Y Efthimiou, Eleni
%Y Fotinea, Stavroula-Evita
%Y Hanke, Thomas
%Y McDonald, John C.
%Y Shterionov, Dimitar
%Y Wolfe, Rosalee
%S Proceedings of the 7th International Workshop on Sign Language Translation and Avatar Technology: The Junction of the Visual and the Textual: Challenges and Perspectives
%D 2022
%8 June
%I European Language Resources Association
%C Marseille, France
%F wolfe-etal-2022-supporting
%X A recurring concern, oft repeated, regarding the quality of signing avatars is the lack of proper facial movements, particularly in actions that involve mouthing. An analysis uncovered three challenges contributing to the problem. The first is a difficulty in devising an algorithmic strategy for generating mouthing due to the rich variety of mouthings in sign language. For example, part or all of a spoken word may be mouthed depending on the sign language, the syllabic structure of the mouthed word, as well as the register of address and discourse setting. The second challenge was technological. Previous efforts to create avatar mouthing have failed to model the timing present in mouthing or have failed to properly model the mouth’s appearance. The third challenge is one of usability. Previous editing systems, when they existed, were time-consuming to use. This paper describes efforts to improve avatar mouthing by addressing these challenges, resulting in a new approach for mouthing animation. The paper concludes by proposing an experiment in corpus building using the new approach.
%U https://aclanthology.org/2022.sltat-1.19
%P 125-130
Markdown (Informal)
[Supporting Mouthing in Signed Languages: New innovations and a proposal for future corpus building](https://aclanthology.org/2022.sltat-1.19) (Wolfe et al., SLTAT 2022)
ACL
- Rosalee Wolfe, John McDonald, Ronan Johnson, Ben Sturr, Syd Klinghoffer, Anthony Bonzani, Andrew Alexander, and Nicole Barnekow. 2022. Supporting Mouthing in Signed Languages: New innovations and a proposal for future corpus building. In Proceedings of the 7th International Workshop on Sign Language Translation and Avatar Technology: The Junction of the Visual and the Textual: Challenges and Perspectives, pages 125–130, Marseille, France. European Language Resources Association.