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Publication
ICASSP 1996
Conference paper
Initialization of hidden Markov models for unconstrained on-line handwriting recognition
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.