| Budget Amount *help |
¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)
Fiscal Year 2015: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2014: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2013: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
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| Outline of Final Research Achievements |
We investigated a method to estimate speech intelligibility of noisy speech using objective measures without human listeners.
We investigated clustering noise according to its effect on intelligibility, and using separate mapping function from objective measure to subjective intelligibility by cluster. We found that three clusters for this purpose is appropriate. By training a relatively simple mapping function per cluster, the estimation accuracy improved significantly compared to using a single function for all noise. The accuracy improved further by using support vector regression, a well known method in machine learning, as the mapping function. We also investigated on estimation without the use of clean speech samples, and found that accuracy high enough for practical use is possible.
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