| Presentation | 2022-02-28 Estimation of speech emotional intensity model using impression ratings Megumi Kawase, Minoru Nakayama, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | We used deep learning to estimate emotional intensity from speech. In our previous study, we considered emotional intensity as 10 categories and estimated emotional intensity by categorization, but the flexibility of this method was insufficient. To solve this problem, in this study, we calculated the perceived intensity values using two evaluation methods by means of an emotional perception evaluation experiment of speech. As a result, we confirmed the nonlinearity of the intensity values of each emotional intensity category in the emotional perception evaluation experiment. As a result, the estimated intensity values with an average correlation coefficient of 0.73 with the set intensity values of speech were obtained in the emotional intensity estimation model using perceived intensity values. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | speech / emotion / intensity / deep learning / emotional perception evaluation experiment |
| Paper # | HIP2021-66 |
| Date of Issue | 2022-02-20 (HIP) |
| Conference Information | |
| Committee | HIP / ITE-HI / ASJ-H / VRPSY |
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| Conference Date | 2022/2/27(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.) / Takehiro Nagai(Tokyo Inst. of Tech.) / Hiroaki Kato(NICT) / Shinji Nakamura(Nihon Fukushi Univ) |
| Vice Chair | Yuji Wada(Ritsumeikan Univ.) / Sachiko Kiyokawa(Nagoya Univ.) / / Shuichi Sakamoto(Tohoku Univ.) |
| Secretary | Yuji Wada(NTT) / Sachiko Kiyokawa(NICT) / (NHK) / Shuichi Sakamoto(Kinki Univ.) / (Kanagawa Univ.) |
| Assistant | Yuki Yamada(Kyushu Univ.) / Daisuke Tanaka(Tottori Univ.) / Ippei Negishi(Kanazawa Inst. of Tech.) |
| Paper Information | |
| Registration To | Technical Committee on Human Information Processing / Technical Group on Human Information / Auditory Research Meeting / SIG-VRPSY |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Estimation of speech emotional intensity model using impression ratings |
| Sub Title (in English) | |
| Keyword(1) | speech |
| Keyword(2) | emotion |
| Keyword(3) | intensity |
| Keyword(4) | deep learning |
| Keyword(5) | emotional perception evaluation experiment |
| 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 | 2022-02-28 |
| Paper # | HIP2021-66 |
| Volume (vol) | vol.121 |
| Number (no) | HIP-381 |
| Page | pp.pp.42-47(HIP), |
| #Pages | 6 |
| Date of Issue | 2022-02-20 (HIP) |