Pattern recognition system using posterior probabilities

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

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G01L 708

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active

050239120

ABSTRACT:
A pattern recognition system includes a feature extracting section for extracting a feature of an input pattern, a memory section for storing a reference pattern for each category, a similarity calculation section for calculating a similarity between the feature obtained by the feature extracting section and the reference pattern stored in the memory section, and a posterior probability transformation section for transforming the similarity calculated by the similarity calculation section into a posterior probability. The posterior probability transformation section calculates the posterior probability calculated by using a parameter set required for calculating the posterior probability and calculated in recognition processing of each category in advance on the basis of the similarity calculated by the similarity calculation section and a category thereof.

REFERENCES:
patent: 4905287 (1990-02-01), Segawa
The 9th ICPR proceedings; pp. 1225-1229; entitled "A Similarity Value Transformation Method for Probabilistic Scoring"; Hideo Segawa & Teruhiko Vkita (1988).
"A Speaker Independent Recognition Algorithm for Connected Word Using Word Boundary Hypothesizer"; pp. 1077-1080; T. Ukita, T. Nitta and S. Watanabe (1986).
"The Distribution of Similarity Values in the Multiple Similarity Method"; pp. 1-10; Hideo Segawa (1987).

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