Duration modeling results for an on-line handwriting recognizer

  • Authors:

  • A. Senior;J. Subrahmonia;K. Nathan

  • Affiliations:

  • IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA;-;-

  • Venue:
  • ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 06
  • Year:
  • 1996

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Abstract

This paper describes a series of experiments that have been conducted to investigate the effect of duration modeling in a hidden Markov model (HMM) based online handwriting recognition system. The issues discussed include parametric vs. non-parametric distributions to model duration, different methods for training transition probabilities and the effect of weighting on duration terms.