Gloss-free Argentinian Sign Language Translation with pose-based deep learning models
The main challenge of automatic Sign Language Translation (SLT) is obtaining data to train models. For Argentinian Sign Language (LSA), the only dataset available for SLT is LSA-T, which contains extracts of a news channel in LSA and the corresponding Spanish subtitles provided by the authors. LSA-T...
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| Autores principales: | Dal Bianco, Pedro Alejandro, Ríos, Gastón Gustavo, Hasperué, Waldo, Stanchi, Oscar Agustín, Ronchetti, Franco, Quiroga, Facundo Manuel |
|---|---|
| Formato: | Objeto de conferencia |
| Lenguaje: | Inglés |
| Publicado: |
2024
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| Materias: | |
| Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/176192 |
| Aporte de: |
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