Visual Speech Recognition

Visual Speech Recognition is a method that combines visual information with speech recognition technology, aiming to enhance or replace traditional audio input by analyzing visual features such as lip movements, thereby improving recognition accuracy and robustness in noisy environments. Its core objective is to achieve multimodal speech understanding and enhance the human-computer interaction experience. This technology has significant application value in fields such as remote communication, hearing aids, and security monitoring, effectively addressing challenges faced by conventional speech recognition techniques.