Partitioning speech rules by context for speech recognition

Details Partitioning speech rules by context for speech recognition Partitioning speech rules by context for speech recognition

1992-12-31

1995-02-14

MacDonald, Allen R.

395 252, 395 24, 395 265, G01L 506

Patent

active

053902793

ABSTRACT:
Partitioning speech recognition rules for generation of a current language model and interpretation in a speech recognition system. Contexts for each of speech recognition rules are determined when each of the speech rules will be active. At one interval (e.g. initialization of the system), common contexts for the speech rules are determined and grouped or partitioned into speech rule sets according to these common contexts. Rapid and efficient generation of a language model upon the detection of a current context at a second interval (e.g. upon the detection of speech in one embodiment) then may be performed. Subsequent to the generation of the language model, interpretation may be performed using the speech recognition rules grouped into these common contexts.

REFERENCES:
patent: 4827520 (1989-05-01), Zeinstra
Kai-Fu Lee, Large-Vocabulary Speaker-Independent Continuous Speech Recognition: The SPHINX System, Apr. 18, 1988 (submitted for fulfillment of requirements for Ph.D. at Carnegie Mellon University), pp. 1-55.
International Conference on Acoustics, Speech and Signal Processing 90, vol. 1, Apr. 3, 1990, pp. 573-576, Murveit et al., "Integrating Natural Language Constraints into HMM-based Speech Recognition".
Computer, vol. 24, No. 6, Jun. 1992, pp. 36-50, Kitano, "PhiDM-Dialog".
IBM Technical Disclosure Bulletin, vol. 34, No. 1, Jun. 1991, "Speech Recognition with Hidden Markov Models of Speech Waveforms".

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