| Budget Amount *help |
¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2014: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2013: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2012: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
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| Outline of Final Research Achievements |
We have developed a methodology for spoken language processing based on non-extensive statistical theory, which is an extension from the conventional extensive statistical theory. We first developed q-log spectral subtraction (q-LMSN) to achieve robustness against the difference of environmental noises and of channels. We proved that it was significantly better than the conventional CMN. Next, we developed a recognition a method using q-Gaussian mixtures for output probabilities in GMMs and in HMMs. We applied it to speech recognition and to video semantic indexing and proved its effectiveness.
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