Slient Speech Recognition : Automatic Lip reading Model using 3D CNN and GRU
The proposed project aims to develop an advanced lipreading model that can effectively convert lip movements into text, benefiting individuals with hearing impairments and situations where audio information is compromised. The proposed solution to the challenge of "Silent Speech Recognition: Automatic LipReading Model using 3D CNN and GRU" aims to create an advanced system that can recognize speech from lip movements without requiring audible audio input. This technology has various potential applications, such as aiding individuals with speech impairments, enhancing speech recognition in noisy environments, and enabling silent communication in sensitive situations like security and surveillance. The advanced lipreading model can be integrated into assistive devices for individuals with hearing impairments, providing them with a more effective means of communication. This model's successful implementation addresses the challenge of converting lip movements into text accurately and reliably. It offers a practical and valuable solution for individuals with diverse applications in scenarios where audio information may be limited or compromised
Project Demonstration video: https://drive.google.com/file/d/1qKj3dBpD5TdRFdahiOV1La9XErNguuXJ/view?usp=drivesdk