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A hidden Markov model based visual speech synthesizer

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3 Author(s)
Williams, J.J. ; Dept. of Electr. & Comput. Eng., Northwestern Univ., Evanston, IL, USA ; Katsaggelos, A.K. ; Randolph, M.A.

This paper describes a hidden Markov model (HMM) based visual synthesizer designed to assist persons with impaired hearing. This synthesizer builds on results in the area of audio-visual speech recognition. We describe how a correlation HMM can be used to integrate independent acoustic and visual HMMs for speech-to-visual synthesis. Our results show that an HMM correlating model can significantly improve synchronization errors versus techniques which compensate for rate differences through scaling

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Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on  (Volume:6 )

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