Publications - Deep learning

LSA-T: The First Continuous Argentinian Sign Language Dataset for Sign Language Translation
Conference paper

LSA-T is the first continuous Argentinian Sign Language (LSA) dataset. It contains ~22 hs of video extracted from the CN Sordos YouTube channel with Spanish subtitles, joints for each signer, and the inferred signer if there is more than one person in a clip. Videos are in 30 FPS full HD (1920x1080). Full specifications at https://midusi.github.io/LSA-T/.

Computer vision Dataset Deep learning LSA-T Sign language translation

Structured Text Generation for Spanish Freestyle Battles using Neural Networks
Conference paper

As the presence of artificial intelligence has increased in a variety of different areas, the use of machine learning and deep learning techniques for creative purposes has also risen significantly in recent years. We designed a neural network-based generation model that takes into account both the structure of freestyle and the low data availability. The model was able to generate realistic freestyle verses in Spanish.

Deep learning Adaptation models Computational modeling Neural networks Natural language processing Generators Data models

LSA-T: The First Continuous Argentinian Sign Language Dataset for Sign Language TranslationConference paper

Structured Text Generation for Spanish Freestyle Battles using Neural NetworksConference paper

LSA-T: The First Continuous Argentinian Sign Language Dataset for Sign Language Translation
Conference paper

Structured Text Generation for Spanish Freestyle Battles using Neural Networks
Conference paper