Synthesizing the finger alphabet of Swiss German Sign Language and evaluating the comprehensibility of the resulting animations
| Autor: | Katja Tissi, Souad Baowidan, Sandra Sidler-Miserez, Robyn Moncrief, Rosalee Wolfe, John C. McDonald, Jerry Schnepp, Sarah Ebling |
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| Přispěvatelé: | University of Zurich |
| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
business.industry
Swiss-German sign language Computer science Speech recognition 410 Linguistics Sign language 000 Computer science knowledge & systems computer.software_genre 10105 Institute of Computational Linguistics Artificial intelligence Alphabet business Set (psychology) computer Natural language processing Avatar |
| Zdroj: | SLPAT@Interspeech |
| Popis: | This paper reports on work in synthesizing the finger alphabet of Swiss German Sign Language (Deutschschweizerische Gebardensprache, DSGS) asafirst step towards afingerspelling learning tool for this language. Sign language synthesis is an instance of automatic sign language processing, which in turn forms part of natural language processing (NLP). The contribution of this paper is twofold: Firstly, the process of creating a set of hand postures and transitions for the DSGS finger alphabet is explained, and secondly, the results of a study assessing the comprehensibility of the resulting animations are reported. The comprehension rate of the signing avatar was highly satisfactory at 90.06%. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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