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Acoustics, Speech, and Signal Processing, IEEE International Conference on (1996)
Atlanta, GA, USA
May 7, 1996 to May 10, 1996
ISBN: 0-7803-3192-3
pp: 3502-3505
K. Nathan , IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA
ABSTRACT
In a hidden Markov model system, the initialization of the model parameters is critical to the performance of the model after retraining. This paper proposes a number of new approaches to the problem of initialization, and demonstrates that a method of smooth alignment results in the best performance.
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CITATION

K. Nathan, A. Senior and J. Subrahmonia, "Initialization of hidden Markov models for unconstrained on-line handwriting recognition," 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings(ICASSP), Atlanta, GA, USA, 1996, pp. 3502-3505.
doi:10.1109/ICASSP.1996.550783
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