Hyper column model vs. fast DCT for feature extraction in visual Arabic speech recognition


Recently, the multimedia signal processing community has shown increasing interest for research development on visual speech recognition domain. In this paper we present a novel visual speech recognition approach based on our model hyper column model (HCM). HCM is used for feature extraction task. The extracted features are modeled by Gaussian distributions… (More)


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