Multonic Markov word models for large vocabulary continuous speech recognition
A new class of hidden Markov models is proposed for the acoustic representation of words in an automatic speech recognition system. The models, built from combinations of acoustically based sub-word units called fenones, are derived automatically from one or more sample utterances of a word. Because...
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Veröffentlicht in: | IEEE transactions on speech and audio processing 1993-07, Vol.1 (3), p.334-344 |
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