This paper presents LSE_UVIGO, a multi-source database designed to foster research on Sign Language Recognition. It is being recorded and compiled for Spanish Sign Language (LSE acronym in Spanish) and contains also spoken Galician language, so it is very well fitted to research on these languages, but also quite useful for fundamental research in any other sign language. LSE_UVIGO is composed of two datasets: LSE_Lex40_UVIGO, a multi-sensor and multi-signer dataset acquired from scratch, designed as an incremental dataset, both in complexity of the visual content and in the variety of signers. It contains static and co-articulated sign recordings, fingerspelled and gloss-based isolated words, and sentences. Its acquisition is done in a controlled lab environment in order to obtain good quality videos with sharp video frames and RGB and depth information, making them suitable to try different approaches to automatic recognition. The second subset, LSE_TVGWeather_UVIGO is being populated from the regional television weather forecasts interpreted to LSE, as a faster way to acquire high quality, continuous LSE recordings with a domain-restricted vocabulary and with a correspondence to spoken sentences.
Keywords
Experiences in building sign language corpora
Machine / Deep Learning – How to get along with the size of sign language resources actually existing
Language and the Brain – New (multimodal) types of datasets and resources
Laura Docío-Fernández, José Luis Alba-Castro, Soledad Torres-Guijarro, Eduardo Rodríguez-Banga, Manuel Rey-Area, Ania Pérez-Pérez, Sonia Rico-Alonso, Carmen García-Mateo. 2020. LSE_UVIGO: A Multi-source Database for Spanish Sign Language Recognition. In Proceedings of the LREC2020 9th Workshop on the Representation and Processing of Sign Languages: Sign Language Resources in the Service of the Language Community, Technological Challenges and Application Perspectives, pages 45–52, Marseille, France. European Language Resources Association (ELRA).
BibTeX Export
@inproceedings{dociofernandez:20013:sign-lang:lrec,
author = {Doc{\'i}o-Fern{\'a}ndez, Laura and Alba-Castro, Jos{\'e} Luis and Torres-Guijarro, Soledad and Rodr{\'i}guez-Banga, Eduardo and Rey-Area, Manuel and P{\'e}rez-P{\'e}rez, Ania and Rico-Alonso, Sonia and Garc{\'i}a-Mateo, Carmen},
title = {{LSE{\_}UVIGO}: A Multi-source Database for {Spanish} {Sign} {Language} Recognition},
pages = {45--52},
editor = {Efthimiou, Eleni and Fotinea, Stavroula-Evita and Hanke, Thomas and Hochgesang, Julie A. and Kristoffersen, Jette and Mesch, Johanna},
booktitle = {Proceedings of the {LREC2020} 9th Workshop on the Representation and Processing of Sign Languages: Sign Language Resources in the Service of the Language Community, Technological Challenges and Application Perspectives},
maintitle = {12th International Conference on Language Resources and Evaluation ({LREC} 2020)},
publisher = {{European Language Resources Association (ELRA)}},
address = {Marseille, France},
day = {16},
month = may,
year = {2020},
isbn = {979-10-95546-54-2},
language = {english},
url = {https://www.sign-lang.uni-hamburg.de/lrec/pub/20013.pdf}
}
| Alba-Castro, José Luis