AUDIO TO SIGN LANGUAGE TRANSLATION AND ALPHABET PREDICTON THROUGH GESTURES
1MEERA MOHANDAS, 2SAJITHA MENON
1Msc Scholar, 2Assistant Professor
1,2Department of Computer Science
1,2St.Joseph’s College (Autonomous), Irinjalakuda, Thrissur, India
ABSTRACT
Over five percentage of the sector's populace or 466 million people has hearing disability. The sign language is applied as a way of communication usually for the deaf and those who have difficulty in hearing.It can also utilized by folks who can pay attention, however hard to speak, or by people with deaf circle of relatives participants. There are around three hundred extraordinary forms of sign language used during the world moment. The main difference among a signal and a gesture is that, gestures are made in the meanwhile of speaking, however signs are applied as an alternative of passing. On this work we recommend a gadget that acknowledges the voice input thru Pyaudio, and Google speech reputation API and converts it into textual content, observed with the aid of signal language output of text that is confirmed at the display screen of the device inside the shape of series of pics or signaled video by way of the help of various python libraries. Also the gadget recognizes character from actual time webcam information. The person is authorized to write the man or woman on the display screen using an object- of- hobby( a water bottle cap in this case. This machine perceive the alphabet making use of real time webcam- captured gestures. The person is authorized to use an interest object to write the ABC on the screen. The factor of gesture recognition is to seize movements which are made in a positive manner and are latterly picked up with the aid of a device like a camera For a extensive variety of situations, hand gestures can be employed as a means of communication. It could be used by persons with a variety of disabilities, comparable as hail- disabled human beings, and people with speech difficulties, to communicate and meet their abecedarian situations.
Keywords:Artifical Neural Network, Deep Learning,Opencv,Sign Language
