| 2025 | ICASSP | Trainingless Adaptation of Pretrained Models for Environmental Sound Classification. | Noriyuki Tonami, Wataru Kohno, Keisuke Imoto, Yoshiyuki Yajima, Sakiko Mishima, Reishi Kondo, Tomoyuki Hino |
| 2024 | ICASSP | 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, Tomoyuki Hino |
| 2021 | ICASSP | Impact of Sound Duration and Inactive Frames on Sound Event Detection Performance. | Keisuke Imoto, Sakiko Mishima, Yumi Arai, Reishi Kondo |
| 2019 | ICASSP | Scene-dependent Anomalous Acoustic-event Detection Based on Conditional Wavenet and I-vector. | Tatsuya Komatsu, Tomoki Hayashi, Reishi Kondo, Tomoki Toda, Kazuya Takeda |
| 2019 | ICASSP | Bayesian Non-parametric Multi-source Modelling Based Determined Blind Source Separation. | Chaitanya Narisetty, Tatsuya Komatsu, Reishi Kondo |
| 2019 | ICASSP | Canonical Correlation Based Feature Extraction with Application to Anomaly Detection in Electric Appliances. | Murtuza Petladwala, Yuko Ishii, Mitsuru Sendoda, Reishi Kondo |
| 2017 | ICASSP | Detection of anomaly acoustic scenes based on a temporal dissimilarity model. | Tatsuya Komatsu, Reishi Kondo |
| 2016 | ICASSP | Acoustic event detection based on non-negative matrix factorization with mixtures of local dictionaries and activation aggregation. | Tatsuya Komatsu, Yuzo Senda, Reishi Kondo |