SIGN LANGUAGE FOR IMPAIRED PEOPLE

The main objective of this project is to design a robust system that could automatically convert speech into text and text into sign language animations. This system is mainly focused on helping hearing-impaired people to understand what others speak through the conversion of speech to sign language which is understandable by the hearing-impaired people. This system has two phases. Conversion of speech to text and then conversion of text into sign language animation. The first phase involves speech recognition and conversion to text. Speech recognition is accomplished with the help of microphones and conversion to text is achieved through the implementation of NLP (Natural Language Processing) in python. The second phase involves the animated video of a 3D-human avatar and mapping the sign language data to appropriate actions which can be projected by this avatar.