A Comprehensive Survey of Advancement in Lip Reading Models: Techniques and Future Directions

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.

Authors

Institutions

Publication Details

Journal
IET Image Processing
Published
2025-01-01
DOI
https://doi.org/10.1049/ipr2.70095
Citations
2
Primary Topic
Speech and Audio Processing
Type
article
Field-Weighted Citation Impact
2.97
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Comprehensive Survey of Advancement in Lip Reading Models: Techniques and Future Directions

Sandip Shingade, Sampada Deshpande, Vijay Sambhe, Kalyani Shirsath et al.
2 citations
IET Image Processing
Speech and Audio Processing
2.97
article

A Comprehensive Survey of Advancement in Lip Reading Models: Techniques and Future Directions

Sandip Shingade, Sampada Deshpande, Vijay Sambhe, Kalyani Shirsath, Amey Pashte, Pratham Loya
article en
2 citations

Abstract

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.

IET Image ProcessingVol. 19(1)
Tecnológico Nacional de México (MX)
Openalex Percentile: Top 9%
Speech and Audio Processing
2.97
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.