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Research on continuous-speech recognition using phoneme-level hidden Markov models (HMMs) is described. The aim of the project is automatic recognition of spoken airborne reconnaissance mission (ARM) reports. The evolution of the ARM system from a simple baseline system to its current configuration is described, and a considerable number of experimental results are included. Work on alternative approaches to modeling contextual effects and on improved duration modeling is described.>
Russel et al. (Wed,) studied this question.
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