| Presentation | 2023-06-09 Analysis of Vocal and Ventricular Folds Data Using Machine Learning Takumi Inoue, Kota Shiozawa, Isao Tokuda, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Vocal fold vibration is a nonlinear phenomenon in the real world. In humans, vocal folds can produce complex sounds by interacting with ventricular folds located superiorly to the vocal folds. The physical model experiments have showed that vocal folds and ventricular folds give rise to synchronous or asynchronous vibrations under specific conditions. Understanding this mechanism requires the concept of nonlinear dynamics, but it is not easy to assume a model of the vocal fold and ventricular fold system from the experiment data. We demonstrate that the analysis of the nonlinear phenomena caused by vocal fold and ventricular fold vibration can be data-driven methodds using several machine learning techniques. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Attractor / Bifurcation diagram / Data-driven modeling / Reservoir computing / Echo-state network / Dimensionality reduction / Auto-encoder / Regression analysis |
| Paper # | NLP2023-24,CCS2023-12 |
| Date of Issue | 2023-06-01 (NLP, CCS) |
| Conference Information | |
| Committee | CCS / NLP |
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| Conference Date | 2023/6/8(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Tokyo City Univ. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | CCS, NLP, etc. |
| Chair | Masaki Aida(TMU) / Hiroyuki Torikai(Hosei Univ.) |
| Vice Chair | Hidehiro Nakano(Tokyo City Univ.) / Atsushi Uchida(Saitama Univ.) / Yuichi Tanji(Kagawa Univ.) |
| Secretary | Hidehiro Nakano(Shibaura Inst. of Tech.) / Atsushi Uchida(Shonan Inst. of Tech.) / Yuichi Tanji(Gifu Univ.) |
| Assistant | Kazutaka Kanno(Saitama Univ.) / Hiroyuki Yasuda(Univ. of Tokyo) / Miki Kobayashi(Rissho Univ.) / Naoya Fujiwara(Tohoku Univ.) / Yoshikazu Yamanaka(Utsunomiya Univ.) / Eri Ioka(Shibaura Institute of Technology) |
| Paper Information | |
| Registration To | Technical Committee on Complex Communication Sciences / Technical Committee on Nonlinear Problems |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Analysis of Vocal and Ventricular Folds Data Using Machine Learning |
| Sub Title (in English) | |
| Keyword(1) | Attractor |
| Keyword(2) | Bifurcation diagram |
| Keyword(3) | Data-driven modeling |
| Keyword(4) | Reservoir computing |
| Keyword(5) | Echo-state network |
| Keyword(6) | Dimensionality reduction |
| Keyword(7) | Auto-encoder |
| Keyword(8) | Regression analysis |
| 1st Author's Name | Takumi Inoue |
| 1st Author's Affiliation | Ritsumeikan University(Rits Univ) |
| 2nd Author's Name | Kota Shiozawa |
| 2nd Author's Affiliation | Ritsumeikan University(Rits Univ) |
| 3rd Author's Name | Isao Tokuda |
| 3rd Author's Affiliation | Ritsumeikan University(Rits Univ) |
| Date | 2023-06-09 |
| Paper # | NLP2023-24,CCS2023-12 |
| Volume (vol) | vol.123 |
| Number (no) | NLP-66,CCS-67 |
| Page | pp.pp.49-52(NLP), pp.49-52(CCS), |
| #Pages | 4 |
| Date of Issue | 2023-06-01 (NLP, CCS) |