Pattern recognition device using tree structure data

Data processing: speech signal processing – linguistics – language – Speech signal processing – Recognition

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704254, G10L 1510

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active

061121738

ABSTRACT:
The pattern recognition device utilizes a tree structure wherein the phoneme data is organized in a particular fashion. Specifically, the phonemes of the subordinate nodes are categorized into groups made up of similar phonemes. A phoneme that corresponds on average to the groups of subordinate nodes is established as the parent node of that group. Distances of similarity of the plurality of standard elements with respect to each of the plurality of consecutive recognition elements are calculated and stored. Parent nodes for which these distances are small are selected, and the distances with respect to recognition elements are calculated for only the subordinate nodes of the selected parent nodes. Distances stored in this way are accumulated in correspondence with tree structure data and standard data. The item of standard data for which the accumulated distance is the smallest is outputted as the recognition result.

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Takao Watanabe, Koichi Shinoda, Keizaburo Takagi, and Ken-Ichi Iso, "High-Speed Speech Recognition Using Tree-Structured Probability Density Function," Proc. ICASSP 95, p. 556-559, May 1995.
P.S. Gopalakrishnan, L.R. Bahl, and R.L. Mercer, "A Tree Search Strategy for Large-Vocabulary Continuous Speech Recognition," Proc. ICASSP 95, p. 572-575, May 1995.
Densi Josho Tsushin Gakkai Ronbunshi, Electronic Information Communications Scientific Society Articles Magazine, "Reduction of Number of Word Hypotheses for Large Vocabulary Continuous Speech Recognition", pages 2117-2124, Dec. 25, 1996.

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