Effortless Real-Time Sign Language Translation
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Updated
Jun 23, 2024 - TypeScript
Effortless Real-Time Sign Language Translation
Sign Language Detection & Translation Web App
Resources about Sign Language Processing (e.g., Sign Language Recognition / Translation / Production)
✌️ ASL ⭤ English Translation with MediaPipe, PointNet, ThreeJS and Embeddings
Traductor de Lengua de Señas Boliviana (LSB) a texto utilizando redes neuronales con mecanismos de atención.
A real-time sign language gesture interpretation using deep learning and pose estimation, supported by an LSTM neural network architecture.
Paper list of sign language, including sign language recognition(SLR), sign language translation(SLT) and other interesting work. Quick start your awesome work with us!! 🤟🤟🤟
World Level American Sign Language Recognition and Translation to Spoken Language
Academic R&D project: Sign-Polish Language Translator
a browser extension that converts auto-generated YouTube subtitles into real-time sign language!
Python library & framework to build custom translators for the hearing-impaired and translate between Sign Language & Text using Artificial Intelligence.
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.
Neural Network that is able to translate any sign language into text.
A comprehensive table of word-level video sign language datasets
This project aims to develop a cutting-edge system that detects sign language from images and converts it into audio, and vice versa.
(SANKET) A Cross-platform App that translates Any Sign language gestures into text or voice in real-time, making communication more accessible and inclusive for specially-abled people.
Senior design project titled "Keyword Search for Sign Language" for the Special Project (EE 491-492) courses offered by Boğaziçi University.
Senior design project titled "Keyword Search for Sign Language" for the Special Project (EE 491-492) courses offered by Boğaziçi University.
This web-based app detects and interprets sign languages into English words in real-time in order to help speech-impaired individuals communicate with others more easily.
Sign-Language translator app
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