Automatic visual speech recognition

• Main Authors: Irwan Widjojo, Lee, Kean Hin
• Other Authors: Foo Say Wei
• Format: Final Year Project
• Language: English
• Published: 2016
• Subjects: DRNTU::Engineering::Electrical and electronic engineering
• Online Access: http://hdl.handle.net/10356/68997
• Institution: Nanyang Technological University

One of the most challenging tasks in automatic visual speech recognition is the extraction of feature parameters from image sequences of lips. There are primarily two approaches to extract visual speech information from image sequences, i.e. model-based approach and pixel-based approach. The advanta...