| Presentation | 2020-12-23 Acoustic features of a Japanese speech corpus for emotion(al) intensity estimation Megumi Kawase, Minoru Nakayama, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | ecently, there have been many studies on emotion estimation from non-linguistic speech data, but few studies on emotion intensity.However, failure to read this emotional intensity can lead to errors in the responses humans and machines should take when communicating with each other. In this paper, we developed three models for emotion intensity estimation using deep learning, and examined the accuracy of emotion intensity estimation for Japanese speech corpus, which resulted in 52.4% accuracy of emotion intensity estimation. We also investigated the correlations between acoustic features and analyzed the properties of acoustic features in order to improve the estimation accuracy, and found that the differentiation of gammatone frequency cepstral coefficients was significantly different between intensities. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | speech / emotion / intensity / acoustic features / deep learning |
| Paper # | HIP2020-64 |
| Date of Issue | 2020-12-15 (HIP) |
| Conference Information | |
| Committee | HIP |
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| Conference Date | 2020/12/22(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Shuichi Sakamoto(Tohoku Univ.) |
| Vice Chair | Yuji Wada(Ritsumeikan Univ.) / Sachiko Kiyokawa(Nagoya Univ.) |
| Secretary | Yuji Wada(NICT) / Sachiko Kiyokawa(NTT) |
| Assistant | Hidetoshi Kanaya(Ritsumeikan Univ.) / Yuki Yamada(Kyushu Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Human Information Processing |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Acoustic features of a Japanese speech corpus for emotion(al) intensity estimation |
| Sub Title (in English) | |
| Keyword(1) | speech |
| Keyword(2) | emotion |
| Keyword(3) | intensity |
| Keyword(4) | acoustic features |
| Keyword(5) | deep learning |
| 1st Author's Name | Megumi Kawase |
| 1st Author's Affiliation | Tokyo Institute of Technology(Tokyo Tech) |
| 2nd Author's Name | Minoru Nakayama |
| 2nd Author's Affiliation | Tokyo Institute of Technology(Tokyo Tech) |
| Date | 2020-12-23 |
| Paper # | HIP2020-64 |
| Volume (vol) | vol.120 |
| Number (no) | HIP-306 |
| Page | pp.pp.55-60(HIP), |
| #Pages | 6 |
| Date of Issue | 2020-12-15 (HIP) |