Acoustics, Speech, and Signal Processing, IEEE International Conference on (1996)
Atlanta, GA, USA
May 7, 1996 to May 10, 1996
K. Nathan , IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA
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.
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.