| Presentation | 2018-12-07 音声による感情推定のための仮想敵対的学習によるモデル平滑化 Toyoaki Kuwahara, Yuichi Sei, Yasuyuki Tahara, Akihiko Ohsuga, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The emotion estimation by speech makes it possible to estimate with higher precision with the development of deep learning. However, most of the emotion estimation using deep learning is using supervised learning, and there is a problem that it is difficult to secure a large amount of data set used for learning. In addition, when the training data environment and the actual data environment are significantly different, it is considered as a problem that the accuracy of emotion estimation greatly deteriorates. Therefore, as an approach to solve both problems, in this research, smoothing of the generated emotion estimation model is performed using virtual adversal training (VAT), semi-teacher learning, and the robustness of the model Improvement was aimed. VAT attracts attention in machine learning as a method of smoothing a generation model by adding minute and intentional perturbation to training data in learning. We first showed improvement of robustness of model generated by setting hyperparameter in VAT by verification with single corpus and then performing evaluation experiment with cross corpus. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Deep Learning / Cross Corpus / Virtual Adversarial Training / Emotion Recognition / Speech Processing |
| Paper # | AI2018-30 |
| Date of Issue | 2018-11-30 (AI) |
| Conference Information | |
| Committee | AI |
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| Conference Date | 2018/12/7(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Tsunenori Mine(Kyushu Univ.) |
| Vice Chair | Daisuke Katagami(Tokyo Polytechnic Univ.) / Naoki Fukuta(Shizuoka Univ.) |
| Secretary | Daisuke Katagami(Ritsumeikan Univ.) / Naoki Fukuta(Univ. of Electro-Comm.) |
| Assistant | Yuko Sakurai(AIST) |
| Paper Information | |
| Registration To | Technical Committee on Artificial Intelligence and Knowledge-Based Processing |
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| Language | JPN-ONLY |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | |
| Sub Title (in English) | |
| Keyword(1) | Deep Learning |
| Keyword(2) | Cross Corpus |
| Keyword(3) | Virtual Adversarial Training |
| Keyword(4) | Emotion Recognition |
| Keyword(5) | Speech Processing |
| 1st Author's Name | Toyoaki Kuwahara |
| 1st Author's Affiliation | The University of Electro-Communications(UEC) |
| 2nd Author's Name | Yuichi Sei |
| 2nd Author's Affiliation | The University of Electro-Communications(UEC) |
| 3rd Author's Name | Yasuyuki Tahara |
| 3rd Author's Affiliation | The University of Electro-Communications(UEC) |
| 4th Author's Name | Akihiko Ohsuga |
| 4th Author's Affiliation | The University of Electro-Communications(UEC) |
| Date | 2018-12-07 |
| Paper # | AI2018-30 |
| Volume (vol) | vol.118 |
| Number (no) | AI-350 |
| Page | pp.pp.25-29(AI), |
| #Pages | 5 |
| Date of Issue | 2018-11-30 (AI) |