| Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2010: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2009: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2008: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
|
|---|
| Research Abstract |
In this research project, we devised a novel classification procedure for distinguishing between normal and abnormal respiratory sounds on the basis of stochastic approach. The main characteristic of our procedure is that two stochastic models are used to detect abnormal respiratory sounds precisely: hidden Markov models for acoustic spectral features and bigram models for the occurrence of acoustic segments in each respiratory period. We also devised an approach to the classification of emotion clusters using prosodic features. In our approach, we use the duration ratios of specific acoustic segments-resonant cry segments and silence segments-in the infants' cries as prosodic features. The classification performance of our approach using the segment duration ratios was significantly better than that of the method using spectral features.
|
