Continuous mandarin chinese speech recognition system having an

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395 263, 395 26, G10L 302

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056029608

ABSTRACT:
A speech recognition system for continuous Mandarin Chinese speech comprises a microphone, an A/D converter, a syllable recognition system, an integrated tone classifier, and a confidence score augmentor. The syllable recognition system generates N-best theories with initial confidence scores. The integrated tone classifier has a pitch estimator to estimate the pitch of the input once and a long-term tone analyzer to segment the estimated pitch according to the syllables of each of the N-best theories. The long-term tone analyzer performs long-term tonal analysis on the segmented, estimated pitch and generates a long-term tonal confidence signal. The confidence score augmentor receives the initial confidence scores and the long-term tonal confidence signals, modifies each initial confidence score according to the corresponding long-term tonal confidence signal, re-ranks the N-best theories according to the augmented confidence scores, and outputs the N-best theories.

REFERENCES:
patent: 5220639 (1993-06-01), Lee
ICASSP '93: Acoustics Speech & Signal Processing Conf. vol. 2, "A new framework for recognition of Mandarin syllables with Tones Using Sub-syllabic Units", Lin et al. pp. 227-230.
Schwartz and Chow, The N-Best Algorithm: An Efficient And Exact Procedure For Finding The N Most Likely Sentence Hypotheses, 1990, IEEE, 81-84.

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