A lip geometry approach for feature-fusion based audio-visual speech recognition
This paper describes a feature-fusion audio-visual speech recognition (AVSR) system that extracts lip geometry from the mouth region using a combination of skin color filter, border following and convex hull, and classification using a Hidden Markov Model. By defining a small number of highly descri...
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Main Authors: | , |
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Format: | Conference or Workshop Item |
Language: | English English |
Published: |
IEEE
2014
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Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/29900/1/A%20lip%20geometry%20approach%20for%20feature-fusion%20based%20audio.pdf http://umpir.ump.edu.my/id/eprint/29900/2/A%20lip%20geometry%20approach%20for%20feature-fusion%20based%20audio_FULL.pdf http://umpir.ump.edu.my/id/eprint/29900/ https://doi.org/10.1109/ISCCSP.2014.6877957 |
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Institution: | Universiti Malaysia Pahang |
Language: | English English |
Internet
http://umpir.ump.edu.my/id/eprint/29900/1/A%20lip%20geometry%20approach%20for%20feature-fusion%20based%20audio.pdfhttp://umpir.ump.edu.my/id/eprint/29900/2/A%20lip%20geometry%20approach%20for%20feature-fusion%20based%20audio_FULL.pdf
http://umpir.ump.edu.my/id/eprint/29900/
https://doi.org/10.1109/ISCCSP.2014.6877957