Concatenative Synthesis for Brazilian Sign Language

Gustavo Borba da Silva, Ângelo Brandão Benetti, José Mario De Martino


Abstract
This paper presents an enhanced concatenative synthesis framework for Brazilian Sign Language (Libras) based on motion-capture (MoCap) data. The proposed method extends previous work by incorporating movement dynamics into the unit-selection process, allowing fragment selection to consider both pose similarity and velocity continuity. In addition, a quaternion-based transition smoothing mechanism is introduced to reduce discontinuities between independently recorded sign segments. The framework also employs a compact quaternion-only motion representation and a web-native architecture for real-time synthesis and visualization.
Anthology ID:
2026.stil-1.60
Volume:
Proceedings of the 17th Brazilian Symposium in Information and Human Language Technology
Month:
October
Year:
2026
Address:
Cuiabá, Mato Grosso, Brazil
Editors:
Bryan Khelven da Silva Barbosa, Aline Paes, Ariani Di Felippo
Venue:
STIL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
621–625
Language:
URL:
https://aclanthology.org/2026.stil-1.60/
DOI:
10.5753/stil.2026.29829
Bibkey:
Cite (ACL):
Gustavo Borba da Silva, Ângelo Brandão Benetti, and José Mario De Martino. 2026. Concatenative Synthesis for Brazilian Sign Language. In Proceedings of the 17th Brazilian Symposium in Information and Human Language Technology, pages 621–625, Cuiabá, Mato Grosso, Brazil. Association for Computational Linguistics.
Cite (Informal):
Concatenative Synthesis for Brazilian Sign Language (da Silva et al., STIL 2026)
Copy Citation:
PDF:
https://aclanthology.org/2026.stil-1.60.pdf