Automatic visual speech recognition

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...

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

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