SIGN LANGUAGE TO SPEECH CONVERTER
R Venkata Krishna, Para Keerti, Shaik Roshan, Bijay Kumar, Safoora Yasmeen · International Journal of Engineering Technology and Management Sciences · 2024
Digital Vocalizer is a project aimed at bridging the communication gap between mute and hearingimpaired individuals and those without such impairments. Deaf and mute people often use signlanguage or gestures to communicate, which can be challenging for others to understand. Toaddress this issue, we have developed a system using an Arduino Nano board as the Atmega 328Controller board to interface all sensors and actuators. The core of our prototype is based on theconcept of an Artificial Neural Network. Flex sensors placed on the hands of the deaf individualconvert parameters like finger bend and hand position angle into electrical signals, which are thenprocessed by the Atmega 328 controller. The controller interprets these signals according to the signand converts them into text and speech formats