Consistency Modeling

نویسندگان

  • Hy Murveit
  • Vassilios Digalakis
  • Peter Monaco
  • Mitch Weintraub
چکیده

SKI's consistency modeling project beg~ in August 1992, The goal of the project is to develop consistency modeling technology. That is, we aim to reduce the number of improper independence assumptions used in traditional speech recognition algorithms so that the resulting speech recognition hypotheses are more selfconsistent and, therefore, more accurate. Consistency is achieved by conditioning HMM output distributions on state and observations histories, P(x[s,H). The goal of the project is finding the proper form of the probability distribution P, the proper history vector, H, and the proper feature vector, x, and developing the infrastructure (e.g. efficient estimation and search techniques) so that consistency modeling can be effectively used.

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تاریخ انتشار 1994