Sign Speak: Speech To Sign Language Conversion System

Communication barriers faced by individuals with speech and hearing impairments often lead to social isolation, largely because sign language is not commonly understood by the general public. Although tools such as text-to-speech and sign language recognition systems exist, many fail to deliver accurate, real-time translations or understand the context needed for natural conversations. This project proposes a Speak to Sign Language Conversion System that bridges the gap by converting spoken language into expressive sign language animations using advanced speech recognition, natural language processing (NLP), and image processing techniques. The system not only translates speech into text but also interprets meaning and intent to produce appropriate animated gestures. By enabling smooth, real-time interaction, it helps reduce communication barriers and fosters inclusivity. Ultimately, this project aims to empower the hearing-impaired community by promoting independence, social connection, and equal participation in everyday conversations.