Mute Mate: An Advanced Lip-Reading Solution for Mute Participants in Virtual Conferences

Mute Mate is a lip-reading system that has been developed to aid mute individuals during online conferences. With the rising popularity of virtual and remote communication, the need to address the communication challenges faced by those who cannot vocalize their thoughts becomes crucial. Mute Mate utilizes advanced machine learning and computer vision techniques to accurately interpret lip movements in real time, offering an efficient communication method. A diverse dataset was used to train and evaluate Mute Mate, encompassing various lip movements captured under different scenarios to ensure adaptability. The methodology combines computer vision and machine learning approaches, employing lip detection algorithms, feature extraction techniques, and deep learning models to classify lip movements and convert them into text. The experimental results demonstrated that the system’s accuracy and performance surpassed the baseline methods and existing lip-reading systems after fine tuning. Mute Mate holds a promise for empowering mute individuals by bridging the communication gap in online conferences, potentially revolutionizing communication accessibility in various domains.