Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2 ...
Abstract: In this paper, we propose a glove-based Arabic sign language recognition system using a novel technique for sequential data classification. We compile a sensor-based dataset of 40 sentences ...
Abstract: Technological advancements play a significant role in the integration of deaf and mute individuals into society. Therefore, improvements in sign language recognition systems are of great ...
NLP offers powerful opportunities to support the UN Sustainable Development Goals (SDGs)—including SDG2 (Zero Hunger). In the wake of the COVID-19 pandemic, the Russia-Ukraine war, mounting climate ...
1st place solution summary: link. Our solution is based on a single encoder-decoder architecture. The encoder is a significantly improved version of Squeezeformer, where the feature extraction was ...
This paper introduces a Convolutional Neural Network (CNN) model for Arabic Sign Language (AASL) recognition, using the AASL dataset. Recognizing the fundamental importance of communication for the ...
Among thousands of languages globally, some are written, some are spoken, while some are signed. Sign languages are unique natural languages widely used in Deaf communities. They express meaning ...
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