A supervised two-channel learning method for hidden Markov model and application on lip reading

• المؤلفون الرئيسيون: Foo, Say Wei, Dong, Liang
• مؤلفون آخرون: IEEE International Conference on Advanced Learning Technologies (2nd : 2002 : Kazan, Russia)
• التنسيق: Conference or Workshop Item
• اللغة: English
• منشور في: 2009
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/90829; http://hdl.handle.net/10220/4617
• المؤسسة: Nanyang Technological University

In this paper, a novel two-channel learning method for hidden Markov model (HMM) is proposed. This method is specially designed to train HMMs for fine recognition from similar observations. The prominent features of this method are 1.) the criterion function is based on the difference between trai...