| 摘要 |
PROBLEM TO BE SOLVED: To precisely detect feeling of a speaker from uttered speech waveform data. SOLUTION: An uttered section sectioning means 3 sections uttered speech data provided with affirmative evaluation or negative evaluation about feeling evaluation into a plurality of uttered sections. A linear predictive coefficient calculation means 5 performs linear predictive analysis for each uttered section to calculate the linear predictive coefficient for each uttered section. A residual waveform calculation means 7 performs linear predictive analysis for each uttered section to calculate an inverse filter of linear predictive coefficient for each uttered section, and uses the inverse filter for each of the plurality of uttered sections to calculate the residual waveform from the uttered speech data. A sectional residual waveform data calculation means 9 sections the obtained residual waveform into prescribed sections to calculate sectional residual waveform data. A neural network means 11 performs neural network learning about each sectional residual waveform data with the supposition that the waveform data are the affirmative evaluation or the negative evaluation provided to the uttered speech data. COPYRIGHT: (C)2007,JPO&INPIT
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