Noriyuki Tonami, Keisuke Imoto, "Sound Event Triage: Detecting Sound Events Considering Priority of Classes," EURASIP Journal on Audio, Speech, and Music Processing, No. 5, pp. 1-13, 2023.
砺波 紀之, 井本 桂右, 岡本悠希, 福森 隆寛, 山下 洋一, "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, vol. 78, no. 5, pp. 217-226, 2022.
Noriyuki Tonami, Keisuke Imoto, Ryosuke Yamanishi, and Yoichi Yamashita, "Joint Analysis of Sound Events and Acoustic Scenes Using Multitask Learning," IEICE Trans. Inf. Syst., vol. E104-D, no. 02, pp. 294-301, 2021.
Yoshiyuki Yajima, Sakiko Mishima, Noriyuki Tonami, Tomoyuki Hino, Shugo Aibe, Junichiro Saikawa, Koji Mizuguchi, "Wave Tank Experiment for Sea State Monitoring with Distributed Acoustic Sensing," Proc. Wind Europa Annual Event, 2026.
Sakiko Mishima, Yoshiyuki Yajima, Noriyuki Tonami, Tomoyuki Hino, Shugo Aibe, Junichiro Saikawa, Koji Mizuguchi, "Monitoring exposure-length variations in submarine power cables using distributed fiber-optic sensing," Proc. Wind Europa Annual Event, 2026.
Noriyuki Tonami, Yoshiyuki Yajima, Wataru Kohno, Sakiko Mishima, Reishi Kondo, Tomoyuki Hino, "Sound Event Classification meets Data Assimilation with Distributed Fiber-Optic Sensing," Proc. Detection and Classification of Acoustic Scenes and Events (DCASE), pp. 115-119, 2025.
Noriyuki Tonami, Wataru Kohno, Keisuke Imoto, Yoshiyuki Yajima, Sakiko Mishima, Reishi Kondo, Tomoyuki Hino, "Trainingless Adaptation of Pretrained Models for Environmental Sound Classification," Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1-5, 2025.
Wataru Kohno, Noriyuki Tonami, Jian Fang, Shaobo Han, Jingchen Sun, Ting Wang, "Text-guided Device-realistic Sound Generation for Fiber-based Sound Event Classification," Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1-5, 2025.
Noriyuki Tonami, Wataru Kohno, Sakiko Mishima, Yumi Arai, Reishi Kondo, Tomoyuki Hino, "Low-rank Constrained Multichannel Signal Denoising Considering Channel-dependent Sensitivity Inspired by Self-supervised Learning for Optical Fiber Sensing," Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 8511-8515, 2024.
Noriyuki Tonami, Sakiko Mishima, Reishi Kondo, Keisuke Imoto, Tomoyuki Hino, "Event Classification with Class-Level Gated Unit Using Large-Scale Pretrained Model for Optical Fiber Sensing " Proc. Detection and Classification of Acoustic Scenes and Events (DCASE), pp. 196-200, 2023.
Noriyuki Tonami, Keisuke Imoto, Ryotaro Nagase, Yuki Okamoto, Takahiro Fukumori, Yoichi Yamashita, "Sound Event Detection Guided by Semantic Contexts of Scenes," Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 801-805, 2022.
Noriyuki Tonami, Keisuke Imoto, Yuki Okamoto, Takahiro Fukumori, and Yoichi Yamashita, "Sound Event Detection Based on Curriculum Learning Considering Learning Difficulty of Events," Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 875-879, 2021.
Noriyuki Tonami, Keisuke Imoto, Takahiro Fukumori, and Yoichi Yamashita, "Evaluation Metric of Sound Event Detection Considering Severe Misdetections by Scenes," Proc. Detection and Classification of Acoustic Scenes and Events (DCASE), pp. 195-199, 2020.
Keisuke Imoto*, Noriyuki Tonami*, Yuma Koizumi, Masahiro Yasuda, Ryosuke Yamanishi, and Yoichi Yamashita, "Sound Event Detection by Multitask Learning of Sound Events and Scenes with Soft Scene Labels," Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 621-625, 2020.
Noriyuki Tonami, Keisuke Imoto, Masahiro Niitsuma, Ryosuke Yamanishi, and Yoichi Yamashita, "Joint Analysis of Acoustic Events and Scenes Based on Multitask Learning," Proc. IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), pp. 333-337, 2019.
* Contributed equally to this work
美島 咲子, 矢島 義之, 砺波 紀之, 樋野 智之, 相部 修吾, 才川 純一朗, 水口 弘司, "分布型光ファイバセンシングを用いた海底電力ケーブル露出長監視 における回帰モデル中間表現に基づく異常検知," 風力エネルギー利用シンポジウム, 2025.
砺波 紀之, 河野 航, 美島 咲子, 荒井 友督, 近藤 玲史, 樋野 智之, "光ファイバセンシングのための近傍法を用いた音響イベント分類," 日本音響学会 2025年秋季研究発表会, pp. xxx-xxx, 2025.
砺波 紀之, 河野 航, 井本 桂右, 矢島 義之, 美島 咲子,近藤 玲史, 樋野 智之, "学習済み環境音認識モデルの学習レス適応," 日本音響学会電気音響研究会/電子情報通信学会 応用音響研究会, pp. 1-6, 2025.
砺波 紀之, 井本 桂右, 美島 咲子, 荒井 友督, 近藤 玲史, 樋野 智之, "学習済み環境音認識モデルに対する学習レス適応, " 日本音響学会 2024年秋季研究発表会, pp. 347-348, 2024.
砺波 紀之, 河野 航, 美島 咲子, 荒井 友督, 近藤 玲史, 樋野 智之, "光ファイバセンシングにおける音響計測のための雑音抑圧," 日本音響学会 2024年春季研究発表会, pp. 307-310, 2024.
砺波 紀之, 美島 咲子, 近藤 玲史, 井本 桂右, 樋野 智之, "光ファイバセンシングのための学習済み環境音認識モデルを用いたイベント分類, " 日本音響学会 2023年秋季研究発表会, pp. 379-382, 2023.
砺波 紀之, 井本 桂右, "音響イベントトリアージ:クラスの優先度を考慮したイベント検出," 日本音響学会 2022年秋季研究発表会, pp. 251-254, 2022.
砺波 紀之, 井本 桂右, 永瀬 亮太郎, 岡本 悠希, 福森 隆寛, 山下 洋一, "事前定義されていないシーン情報を利用可能な音響イベント検出,'' 日本音響学会 2022年春季研究発表会, pp. 243-246, 2022.
下西 莞太, 砺波 紀之, 福森 隆寛, 山下 洋一, "データの逐次的な学習による深層学習に基づく環境音分離,'' 日本音響学会 2022年春季研究発表会, pp. 257-258, 2022.
砺波 紀之, 井本 桂右, 福森 隆寛, 山下 洋一, "音響シーンを用いて検出誤りの深刻さを考慮したイベント検出の評価指標," 日本音響学会 2020年秋季研究発表会, pp. 301-304, 2020.
田中 良樹, 砺波 紀之, 井本 桂右, 山西 良典, 山下 洋一, "環境音分析におけるマルチタスク学習の損失関数に対するアニーリングの検討," 日本音響学会 2020年春季研究発表会, pp. 191-194, 2020.
砺波 紀之, 井本 桂右, 山西 良典, 山下 洋一, "音響シーンの知識蒸留を用いた音響イベント検出," 日本音響学会 2019年秋季研究発表会, pp. 217-220, 2019.(日本音響学会学生優秀発表賞)
砺波 紀之, 井本 桂右, 新妻 雅弘, 山西 良典, 山下 洋一, "マルチタスク学習に基づく音響シーンとイベントの同時分析," 日本音響学会 2019年春季研究発表会, pp. 261-262, 2019.(第3回 IEEE Signal Processing Society (SPS) Tokyo Joint Chapter Student Award)
Noriyuki Tonami, "Distributed Acoustic Sensing by Optical Fiber with Signal Processing and Machine Learning," ASA-ASJ Joint Meeting, 2025.
Daichi Akiyama, Keisuke Imoto, Noriyuki Tonami, Yuki Okamoto, Ryosuke Yamanishi, Takahiro Fukumori, Yoichi Yamashita, "Sound Event Detection Using Duration Robust Loss Function," arXiv, arXiv:2006.15253, 2020.
"光ファイバセンシングとアレイセンサ," NECデジタルテクノロジー開発研究所 Advent Calendar, Qiita, 2023.