Speech recognition method and system using triphones, diphones,

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395 264, G10L 506

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055027903

ABSTRACT:
A speech recognition system starts by training hidden Markov models for all triphones, diphones, and phonemes occurring in a small training vocabulary. Hidden Markov models of a target vocabulary are created by concatenating the triphone, diphone, and phoneme models, using triphone models if available, diphone HMMs when triphone models are not available, and phoneme models when neither triphone nor diphone models are available. Utterances from the target vocabulary are recognized by choosing a model with maximum probability of reproducing quantized utterance features.

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