Oscar Vanegas

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This paper describes intensity and location normalization techniques for improving the performance of visual speech recognizers used in audio-visual speech recognition. For auditory speech recognition, there exist many methods for dealing with channel characteristics and speaker individualities, e.g., CMN (cepstral mean normalization), SAT (speaker adaptive(More)
This paper describes an HMM-based lip location normalization process, in order to improve the recognition performance in automatic lip-reading. This paper uses the image-based method in order to represent the lip visual information. One of the most critical factors which affect the recognition results in imagebased method is the position of lips in frames.(More)
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