Published Paper Details:

Communication is a fundamental aspect of human interaction, and individuals with speech impairments often face significant challenges in expressing themselves effectively. This paper presents MuteTalk, a system that enables speech using gesture recognition, natural language processing (NLP), and speech synthesis. The system is divided into three core components. First, gesture recognition is implemented using OpenCV to identify specific hand gestures, which serve as input for communication. Next, the NLP module processes these recognized gestures by mapping them to predefined keywords and forming meaningful sentences based on contextual understanding. Finally, the speech synthesis module converts the structured sentences into audible speech, allowing seamless communication through a speaker system. By integrating computer vision, language processing, and speech generation, MuteTalk provides an intuitive and efficient means for non-verbal individuals to convey their thoughts. The system enhances accessibility and inclusivity, offering a practical assistive technology solution for people with speech disabilities.