Multiple template speech recognition system

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G10L 100

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active

RE0311880

ABSTRACT:
A speech analyzer for recognizing an unknown utterance as one of a set of reference words is adapted to generate a feature signal set for each utterance of every reference word. At least one template signal is produced for each reference word which template signal is representative of a group of feature signal sets. Responsive to a feature signal set formed from the unknown utterance and each reference word template signal, a signal representative of the similarity between the unknown utterance and the template signal is generated. A plurality of similarity signals for each reference word is selected and a signal corresponding to the average of said selected similarity signals is formed. The average similarity signals are compared to identify the unknown utterance as the most similar reference word. Features of the invention include: template formation by successive clustering involving partitioning feature signal sets into groups of predetermined similarity by centerpoint clustering, and recognition by comparing the average of selected similarity measures of a time-warped unknown feature signal set with the cluster-derived reference templates for each vocabulary word.

REFERENCES:
patent: 3521235 (1970-07-01), Becker
patent: 3770892 (1973-11-01), Clapper
patent: 4028674 (1977-06-01), Chuang
patent: 4060694 (1977-11-01), Suzuki et al.
patent: 4069393 (1978-01-01), Martin et al.
G. Thaker et al., "Comparison of Fast Fourier etc.," Proc. of Southeastern Conf. on Imaginative Eng., 1977.
R. Christiansen et al., "Word Spotting in Continuous Speech etc.," IEEE Int'l Conf. on Acoustics, 1976.

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