Hybrid lexicon for speech recognition

Details Hybrid lexicon for speech recognition Hybrid lexicon for speech recognition

2011-05-17

2011-05-17

Yen, Eric (Department: 2626)

Data processing: speech signal processing, linguistics, language

Speech signal processing

Recognition

C704S254000, C704S255000

Reexamination Certificate

active

07945445

ABSTRACT:
Methods and apparatus for speech recognition based on a hidden Markov model are disclosed. A disclosed method of speech recognition is based on a hidden Markov model in which words to be recognized are modeled as chains of states and trained using predefined speech data material. Known vocabulary is divided into first and second partial vocabularies where the first partial vocabulary is trained and transcribed using a whole word model and the second partial vocabulary is trained and transcribed using a phoneme-based model in order to obtain a mixed hidden Markov model. The transcriptions from the two models are stored in a single pronunciation lexicon and the mixed hidden Markov model stored in a singe search space. Apparatus are disclosed that also employ a hidden Markov model.

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