Articulatory features for robust visual speech recognition
Proceedings of the 6th international conference on Multimodal interfaces
Articulatory feature recognition using dynamic Bayesian networks
Computer Speech and Language
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In this paper we undertake the use of phonological features applied to speech recognition in Spanish language. We investigate two different ways to integrate these phonological features into an HMM based speech recognition system. We also propose a method to integrate these features using an architecture that uses independent feature streams. In the experimental results we find that higher recognition accuracies and less computational cost can be obtained.