DEVELOPING AN AUDIO-TO-SIGN LANGUAGE TRANSLATION SYSTEM USING PYTHON

Abstract

The ability to bridge communication gaps between individuals who use sign language and those who rely on spoken language is crucial for fostering inclusivity and accessibility. This study presents the development of an audio-to sign language translation system using Python, designed to convert spoken language into corresponding sign language gestures. The proposed system utilizes advanced speech recognition techniques to capture and transcribe spoken audio input, followed by a translation mechanism that maps the recognized speech into sign language demonstrations.