Critical analysis of audio to sign conversion using Python
N. Singla, Pramod Kumar Sharma, H. Maheshwari, Priyanka Kumari, Priya · 2025
People&s;s lives are greatly impacted by communication, which is a vital life skill. We can communicate, express ourselves, and exchange ideas and feelings thanks to it. Sign Language is one type of communication where messages are expressed by manual movements and visual signals. In this way, we focus on developing an automated software program that converts spoken language to sign language. This method aims to facilitate communication between individuals who are hard of hearing or deaf and those who struggle with sign language. For many people, learning sign language might be extremely daunting. Our research suggests a strategy that makes use of image processing and speech recognition technology to tackle this problem. The suggested system produces precise and contextually appropriate sign language translations by combining automated voice recognition (ASR), natural language processing (NLP), and computer vision techniques.