A two-channel training algorithm for hidden Markov model to identify visual speech elements

• Main Authors: Foo, Say Wei, Yong, Lian, Dong, Liang
• Other Authors: School of Electrical and Electronic Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2009
• Subjects: DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
• Online Access: https://hdl.handle.net/10356/90658; http://hdl.handle.net/10220/5843
• Institution: Nanyang Technological University

A novel two-channel algorithm is proposed in this paper for discriminative training of Hidden Markov Models (HMMs). It adjusts the symbol emission coefficients of an existing HMM to maximize the separable distance between a pair of confusable training samples. The method is applied to identify the v...