COGNITIVE DYSFUNCTION DANGER COMPUTING DEVICE, COGNITIVE DYSFUNCTION DANGER COMPUTING SYSTEM, AND PROGRAM

摘要

PROBLEM TO BE SOLVED: To compute the danger of cognitive dysfunction with high accuracy.

SOLUTION: A feature quantity-selecting section 22 selects combinations of rhythm feature quantities highest in correlation with HDS-R scores from multiple kinds of rhythm feature quantities based on a plurality of learning data including the multiple kinds of rhythm feature quantities extracted from voice data, and the HDS-R scores obtained on a speaker of the voice data. A weighting determining section 24 determines weighting to each of the selected combinations of the rhythm feature quantities based on the selected combinations of rhythm feature quantities and the HDS-R scores of each of the plurality of learning data. A feature quantity-extracting section 28 extracts the multiple kinds of rhythm feature quantities from the input voice data. A danger computing section 30 computes the danger of cognitive dysfunction based on the selected combinations of the rhythm feature quantities out of the extracted rhythm feature quantities, and weighting determined by the weighting determining section 24.

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