Hand Gesture Recognition And Voice Conversion For Deaf And Dumb

Abstract

Communication is main method about inter-person communication. Number about deaf & dumb persons has dramatically increased in recent years due to birth defects, mishaps, & mouth diseases. Individuals who are deaf or dumb must use a visual medium to communicate among others because they are unable to do so among hearing people. Many different languages are used & translated all around world. People who have trouble hearing & speaking are referred to as "Special Persons." other person has trouble understanding what "The Dumb" & "The Deaf" persons are trying to say, respectively. In order for dumplings to communicate among regular people, sign language is essential. Speaking among others who aren't silent is really difficult for silent people. because public is not taught hand sign language. They find it quite challenging to communicate in an emergency. solution to this problem is to translate sign language into audible speech. There are numerous efficient techniques for spotting hand motions or gestures, such as voice-to-text conversion using CNN & SVM algorithms. Here proposed study utilised SVM technique, however Python SVM is not accurate in identifying hand gesture, therefore we are using deep learning Convolution Neural Network to train hand gesture photographs, & then this trained model can be used to predict those taught hand gesture from webcam.