WACV 2020 "Word-level Deep Sign Language Recognition from Video: A New Large-scale Dataset and Methods Comparison"
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Updated
Mar 18, 2023 - Python
WACV 2020 "Word-level Deep Sign Language Recognition from Video: A New Large-scale Dataset and Methods Comparison"
Effortless Real-Time Sign Language Translation
isolated & continuous sign language recognition using CNN+LSTM/3D CNN/GCN/Encoder-Decoder
Sign Language Translation with Transformers (COLING'2020, ECCV'20 SLRTP Workshop)
World Level American Sign Language Recognition and Translation to Spoken Language
papers on sign language recognition and related fields
Python library & framework to build custom translators for the hearing-impaired and translate between Sign Language & Text using Artificial Intelligence.
Resources about Sign Language Processing (e.g., Sign Language Recognition / Translation / Production)
Real-time translation of Pakistan sign language into text and speech using OpenPose and Machine Learning
Neural Network that is able to translate any sign language into text.
Deep Learning Assignment for conversion of American Sign Language to Text format
수어 번역 프로그램입니다.
Sign Language Translation(BOAZ 15th Conference)
Sign Language Translator enables the hearing impaired user to communicate efficiently in sign language, and the application will translate the same into text/speech. The user has to train the model, by recording its own sign language gestures. Internally it uses MobileNet and KNN classifier to classify the gestures.
SLTUNET: A Simple Unified Model for Sign Language Translation (ICLR 2023)
Model Sign Language with Machine Learning
Use this API to make your own Sign Language Recognition Application.
A list of useful resources in the sign language recognition, translation and generation, such as datasets, papers, links to open source projects
Pre-processing and execution scripts for experiments on automatic translation of sign language focusing on the gloss-to-text. Research done in the frame of the bachelor's thesis of Galina Angelova, supported by the BMBF-funded project SocialWear
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