| MIMII Dataset: Sound dataset for malfunctioning industrial machine investigation and inspection H Purohit, R Tanabe, K Ichige, T Endo, Y Nikaido, K Suefusa, ... arXiv preprint arXiv:1909.09347, 2019 | 354 | 2019 |
| Description and discussion on DCASE2020 challenge task2: Unsupervised anomalous sound detection for machine condition monitoring Y Koizumi, Y Kawaguchi, K Imoto, T Nakamura, Y Nikaido, R Tanabe, ... arXiv preprint arXiv:2006.05822, 2020 | 238 | 2020 |
| Anomalous sound detection based on interpolation deep neural network K Suefusa, T Nishida, H Purohit, R Tanabe, T Endo, Y Kawaguchi ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 159 | 2020 |
| MIMII DG: Sound dataset for malfunctioning industrial machine investigation and inspection for domain generalization task K Dohi, T Nishida, H Purohit, R Tanabe, T Endo, M Yamamoto, Y Nikaido, ... arXiv preprint arXiv:2205.13879, 2022 | 119 | 2022 |
| Description and discussion on DCASE 2021 challenge task 2: Unsupervised anomalous sound detection for machine condition monitoring under domain shifted conditions Y Kawaguchi, K Imoto, Y Koizumi, N Harada, D Niizumi, K Dohi, ... arXiv preprint arXiv:2106.04492, 2021 | 90 | 2021 |
| MIMII DUE: Sound dataset for malfunctioning industrial machine investigation and inspection with domain shifts due to changes in operational and environmental conditions R Tanabe, H Purohit, K Dohi, T Endo, Y Nikaido, T Nakamura, ... 2021 IEEE Workshop on Applications of Signal Processing to Audio and …, 2021 | 85 | 2021 |
| Flow-based self-supervised density estimation for anomalous sound detection K Dohi, T Endo, H Purohit, R Tanabe, Y Kawaguchi ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 71 | 2021 |
| Anomaly detection based on an ensemble of dereverberation and anomalous sound extraction Y Kawaguchi, R Tanabe, T Endo, K Ichige, K Hamada ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 55 | 2019 |
| Description and discussion on DCASE 2023 challenge task 2: First-shot unsupervised anomalous sound detection for machine condition monitoring K Dohi, K Imoto, N Harada, D Niizumi, Y Koizumi, T Nishida, H Purohit, ... arXiv preprint arXiv:2305.07828, 2023 | 50 | 2023 |
| Description and Discussion on DCASE 2021 Challenge Task 2: Unsupervised Anomalous Detection for Machine Condition Monitoring Under Domain Shifted Conditions. Y Kawaguchi, K Imoto, Y Koizumi, N Harada, D Niizumi, K Dohi, ... DCASE, 186-190, 2021 | 39 | 2021 |
| Multichannel acoustic scene classification by blind dereverberation, blind source separation, data augmentation, and model ensembling R Tanabe, T Endo, Y Nikaido, T Ichige, P Nguyen, Y Kawaguchi, ... DCASE 2018 Challenge, 2018 | 29 | 2018 |
| Deep autoencoding GMM-based unsupervised anomaly detection in acoustic signals and its hyper-parameter optimization H Purohit, R Tanabe, T Endo, K Suefusa, Y Nikaido, Y Kawaguchi arXiv preprint arXiv:2009.12042, 2020 | 27 | 2020 |
| Probabilistic 3D sound source mapping using moving microphone array Y Sasaki, R Tanabe, H Takemura 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016 | 14 | 2016 |
| MIMII Dataset: Sound dataset for malfunctioning industrial machine investigation and inspection. arXiv 2019 H Purohit, R Tanabe, K Ichige, T Endo, Y Nikaido, K Suefusa, ... arXiv preprint arXiv:1909.09347, 0 | 14 | |
| Online Spatial Sound Perception Using Microphone Array on Mobile Robot* Y Sasaki, R Tanabe, H Takernura 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 9 | 2018 |
| Probabilistic 3d sound source mapping system based on monte carlo localization using microphone array and lidar R Tanabe, Y Sasaki, H Takemura Journal of Robotics and Mechatronics 29 (1), 94-104, 2017 | 5 | 2017 |
| Using ARCFACE Metric Learning For Low-Complexity Acoustic Scene Classification K Horváth, H Purohit, R Tanabe, K Dohi, T Endo, M Yamamoto, T Nishida, ... Detection and Classification of Acoustic Scenes and Events, 2021 | 1 | 2021 |
| Location-Independent Multi-Channel Acoustic Scene Classification Using Blind Dereverberation, Blind Source Separation, and Model Ensemble R Tanabe, T Endo, Y Nikaido, K Ichige, N Phong, Y Kawaguchi, ... 2019 Asia-Pacific Signal and Information Processing Association Annual …, 2019 | 1 | 2019 |
| Abnormality Detection System and Abnormality Detection Method D Kota, HP Purohit, R Tanabe, M Yamamoto, T Endo, Y Kawaguchi US Patent App. 17/828,714, 2022 | | 2022 |
| 第 29 回技術開発賞 安川和希， 田邊亮， 末房佳小里， 遠藤隆， 土肥宏太， 西田智哉 日本音響学会誌 77 (8), 2021 | | 2021 |
Yohei KawaguchiHitachi, Ltd.在 hitachi.com 的电子邮件经过验证
Yohei KawaguchiHitachi, Ltd.在 hitachi.com 的电子邮件经过验证
Kota DohiHitachi, Ltd.在 hitachi.com 的电子邮件经过验证
Tomoya NishidaHitachi, Ltd.在 hitachi.com 的电子邮件经过验证