arXiv:2412.16497
공식 코드 · Papers with Code
Real-time Bangla Sign Language Translator
원문 초록
The human body communicates through various meaningful gestures, with sign language using hands being a prominent example. Bangla Sign Language Translation (BSLT) aims to bridge communication gaps for the deaf and mute community. Our approach involves using Mediapipe Holistic to gather key points, LSTM architecture for data training, and Computer Vision for realtime sign language detection with an accuracy of 94%. Keywords=Recurrent Neural Network, LSTM, Computer Vision, Bangla font.
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Geo-Sign: Hyperbolic Contrastive Regularisation for Geometrically Aware Sign Language Translation
Sign Language Translation using Frame and Event Stream: Benchmark Dataset and Algorithms
Speak2Sign3D: A Multi-modal Pipeline for English Speech to American Sign Language Animation
Bridging Sign and Spoken Languages: Pseudo Gloss Generation for Sign Language Translation
ADAT: Time-Series-Aware Adaptive Transformer Architecture for Sign Language Translation
Spatio-temporal transformer to support automatic sign language translation
토론
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