Determination of phone weights for markov models in a speech rec

Electrical audio signal processing systems and devices – One-way audio signal program distribution – Public address system

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G10L 500

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active

047410361

ABSTRACT:
In a speech recognition system, discrimination between similar-sounding uttered words is improved by weighting the probability vector data stored for the Markov model representing the reference word sequence of phones. The weighting vector is derived for each reference word by comparing similar sounding utterances using Viterbi alignment and multivariate analysis which maximizes the differences between correct and incorrect recognition multivariate distributions.

REFERENCES:
patent: 4099257 (1978-06-01), Arnold et al.
patent: 4100370 (1978-07-01), Suzuki et al.
Language and Speech, vol. 4, No. 4, Oct./Dec. 1961, pp. 200-219; G. E. Peterson: "Automatic Speech Recognition Procedures".
The Bell System Technical Journal, vol. 60, No. 5, May-Jun. 1981, pp. 739-766, American Telephone and Telegraph Co., Murray Hill, NJ, US; L. R. Rabiner et al.: "A Two-Pass Pattern-Recognition Approach to Isolated Word Recognition".

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