Review on Automatic Lip Reading Techniques

Author:

Lu Yuanyao1ORCID,Yan Jie1,Gu Ke1

Affiliation:

1. School of Electronic and Information Engineering, North China University of Technology, Beijing, P. R. China

Abstract

As a significant component of the Human Computer Interface (HCI), automatic lip reading is designed for the purpose of understanding the content of speech by interpreting the movements of the lips. Although performance of automatic lip reading system is easily affected by challenging conditions such as noise, illumination and low resolution, enormous advancements in the relevant fields accompanied with enhancement in computer capability have improved the robustness of the system, making it more adaptable to the real environment. In this paper, we study the field and gives a detailed discussion on the actuality and the developing level of automatic lip reading. We emphatically introduce the feature extraction and recognition model algorithms. We also compare and analyze the various visual speech databases for their characteristics and functions in speech recognition systems. In addition, we describe the challenges and offer our insights into future research direction of automatic lip reading.

Funder

the National Natural Science Foundation of China

the Beijing Natural Science Foundation of China

the Science and Technology Development Program of Beijing Municipal Education Commission

the Great Wall Scholar Reserved Talent Program of North China University of Technology

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Survey on Visual Speech Recognition using Deep Learning Techniques;2023 International Conference on Communication System, Computing and IT Applications (CSCITA);2023-03-31

2. Electromyogram‐Based Lip‐Reading via Unobtrusive Dry Electrodes and Machine Learning Methods;Small;2023-01-26

3. Continuous Phoneme Recognition based on Audio-Visual Modality Fusion;2022 International Joint Conference on Neural Networks (IJCNN);2022-07-18

4. Decoding lip language using triboelectric sensors with deep learning;Nature Communications;2022-03-17

5. A Systematic Review on Physiological-Based Biometric Recognition Systems: Current and Future Trends;Archives of Computational Methods in Engineering;2021-02-23

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3