| Presentation | 2009-10-23 An Estimation of Emotion in Human Speech Using Multi Machine Learning Schemes Saori AMANUMA, Masaki KUREMATSU, Jun HAKURA, Hamido FUJITA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | There are some researches about estimating emotion in speech. However, the predict rate is low. In order to improve the predict rate, we propose how to estimate emotion in speech using multi machine learning schemes. Our approach is based on the conventional approach in exists works. In the conventional approach, we collect speech data that a person speaks some phrases to express an emotion in first. Next, we make a classifier using a supervised machine-learning scheme. We use speech data as training data at this time. Although there are various expressions for one emotion, we operate same expression in the conventional approach. We think that this is one of the causes of low predict rate. In order to solve this cause, we subdivided speech data using an unsupervised machine learning scheme, like cluster analysis, before making a classifier. This is the unique point of our approach. After subdividing speech data, we make a classifier from speech data using a supervised machine-learning scheme, like a regression tree. We estimate emotion in speech using the classifier. Experimental results show that our approach is better than the conventional approach. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Estimation of Emotion in Speech / Sound Features / Machine Learning Scheme |
| Paper # | PRMU2009-86 |
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| Conference Information | |
| Committee | PRMU |
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| Conference Date | 2009/10/15(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Pattern Recognition and Media Understanding (PRMU) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | An Estimation of Emotion in Human Speech Using Multi Machine Learning Schemes |
| Sub Title (in English) | |
| Keyword(1) | Estimation of Emotion in Speech |
| Keyword(2) | Sound Features |
| Keyword(3) | Machine Learning Scheme |
| 1st Author's Name | Saori AMANUMA |
| 1st Author's Affiliation | Faculty of Software and Information, Iwate Prefectural University() |
| 2nd Author's Name | Masaki KUREMATSU |
| 2nd Author's Affiliation | Faculty of Software and Information, Iwate Prefectural University |
| 3rd Author's Name | Jun HAKURA |
| 3rd Author's Affiliation | Faculty of Software and Information, Iwate Prefectural University |
| 4th Author's Name | Hamido FUJITA |
| 4th Author's Affiliation | Faculty of Software and Information, Iwate Prefectural University |
| Date | 2009-10-23 |
| Paper # | PRMU2009-86 |
| Volume (vol) | vol.109 |
| Number (no) | 249 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |