Noriyuki Tonami
Ritsumeikan University
H-index: 5
Asia-Japan
Top articles of Noriyuki Tonami
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Low-rank constrained multichannel signal denoising considering channel-dependent sensitivity inspired by self-supervised learning for optical fiber sensing | Noriyuki Tonami Wataru Kohno Sakiko Mishima Yumi Arai Reishi Kondo | 2024/4/14 | |
Event Classification with Class-Level Gated Unit Using Large-Scale Pretrained Model for Optical Fiber Sensing | Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events (DCASE) | Noriyuki Tonami Sakiko Mishima Reishi Kondo Keisuke Imoto Tomoyuki Hino | 2023 |
Sound event triage: detecting sound events considering priority of classes | EURASIP Journal on Audio, Speech, and Music Processing | Noriyuki Tonami Keisuke Imoto | 2023/1/20 |
誤検出の深刻さを考慮した音響イベント検出のための評価指標 | 日本音響学会誌 | 砺波紀之， 井本桂右， 岡本悠希， 福森隆寛， 山下洋一 | 2022/5/1 |
Sound event detection guided by semantic contexts of scenes | Noriyuki Tonami Keisuke Imoto Ryotaro Nagase Yuki Okamoto Takahiro Fukumori | 2022/5/23 | |
Sound event detection based on curriculum learning considering learning difficulty of events | Noriyuki Tonami Keisuke Imoto Yuki Okamoto Takahiro Fukumori Yoichi Yamashita | 2021/6/6 | |
Joint analysis of sound events and acoustic scenes using multitask learning | IEICE TRANSACTIONS on Information and Systems | Noriyuki Tonami Keisuke Imoto Ryosuke Yamanishi Yoichi Yamashita | 2021/2/1 |
Evaluation Metric of Sound Event Detection Considering Severe Misdetections by Scenes | Noriyuki Tonami Keisuke Imoto Takahiro Fukumori Yoichi Yamashita | 2020/11 | |
Sound Event Detection Using Duration Robust Loss Function | arXiv preprint arXiv:2006.15253 | Daichi Akiyama Keisuke Imoto Noriyuki Tonami Yuki Okamoto Ryosuke Yamanishi | 2020/6/27 |
Sound event detection by multitask learning of sound events and scenes with soft scene labels | Keisuke Imoto Noriyuki Tonami Yuma Koizumi Masahiro Yasuda Ryosuke Yamanishi | 2020/5/4 |
Co-Authors
