A Comprehensive Survey of Advancement in Lip Reading Models: Techniques and Future Directions
Sampada Deshpande, Kalyani Shirsath, Amey Pashte, Pratham Loya, Sandip Shingade, Vijay Sambhe · IET Image Processing · 2025
ABSTRACT Lip reading models improve information processing and decision‐making by quickly and accurately comprehending enormous amounts of text. This study dives into the important role that lip reading plays in making communication more inclusive, especially for individuals with hearing impairments. From 2020 to 2024, the researchers carefully examine the progress made in lip‐reading algorithms. They take a close look at the methods, innovations and principles used to decode spoken content from videos, specifically using visual speech recognition techniques. The study also emphasises the use of datasets like LRW, LRS2 and LRS3, which are crucial for this exploration. This paper offers valuable insights into recent advancements and highlights the importance of diverse datasets in improving lip‐reading models. Its findings aim to guide future research efforts in making communication more accessible for people with hearing impairments.