Speech recognition system

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G10L 100

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active

040924939

ABSTRACT:
An unknown segment such as a spoken digit in a continuous speech signal is recognized as a previously identified speech segment by deriving a set of test linear prediction characteristic signals from the voiced interval of the unknown segment. The test signals are time aligned to the average voiced interval of repetitions of each of a plurality of identified speech segments for which average reference voiced interval linear prediction characteristic signals were previously generated. The correspondence between the aligned test signals and the reference signals is determined. The unknown speech segment is identified as the reference segment having the closest correspondence with the unknown segment. Features of the invention include: voiced-region parameter signals, and classification and consistency detection; and determining means and variances of voiced-region parameters from a plurality of speakers utilized for the correspondence arrangements.

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F. Itakura, "Minimum Prediction Residual Principle," IEEE Trans. on A, S, and SP, Feb. 1975.
G. White, et al., "Speech Recognition Experiments with Linear Prediction," IEEE Trans. on A, S, SP, Apr. 1976.
G. White, "Speech Recognition," Computer, May, 1976.
Cannon, M., "A Method of Analysis and Recognition for Voiced Vowels," IEEE, Trans. on Audio and EA, Jun., 1968.

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