Deep Learning based Speech and Gesture Recognition System for the Disabled

Speech and Gesture recognition systems constitute an ideal aid for the disabled with speech hearing impairments. Approximately, there are 466 million people in world impairment around 16 impairment. They require external to recognize their gestures, express thoughts ideas world. The proposed Recognition System (SGRS) takes forward solve communication barriers faced by subjects, recognizing both gestures of subjects promising accuracy using convolutional neural network. SGRS model is competent convert sign-language into pictures text as well high accuracy. Thus, can be a suitable has been evaluated standard evaluation scores such validation accuracy, loss, recall, precision F1-score proved proficient.