Recognition unit model training based on competing word and word

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395 265, 395 245, G10L 504, G10L 506

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active

055794360

ABSTRACT:
A system pattern-based speech recognition, e.g., a hidden Markov model (HMM) based speech recognizer using Viterbi scoring. The principle of minimum recognition error rate is applied by the present invention using discriminative training. Various issues related to the special structure of HMMs are presented. Parameter update expressions for HMMs are provided.

REFERENCES:
patent: 4817156 (1989-03-01), Bahl et al.
patent: 5280563 (1994-01-01), Ganong
patent: 5315689 (1994-05-01), Kanazawa et al.

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