| 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 | 79 | 2021 |
| 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 | 72 | 2022 |
| Description and discussion on DCASE 2022 challenge task 2: Unsupervised anomalous sound detection for machine condition monitoring applying domain generalization techniques K Dohi, K Imoto, N Harada, D Niizumi, Y Koizumi, T Nishida, H Purohit, ... arXiv preprint arXiv:2206.05876, 2022 | 70 | 2022 |
| 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 | 70 | 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 | 50 | 2021 |
| 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 | 28 | 2021 |
| 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 | 21 | 2023 |
| Anomalous sound detection based on machine activity detection T Nishida, K Dohi, T Endo, M Yamamoto, Y Kawaguchi 2022 30th European Signal Processing Conference (EUSIPCO), 269-273, 2022 | 6 | 2022 |
| Disentangling physical parameters for anomalous sound detection under domain shifts K Dohi, T Endo, Y Kawaguchi 2022 30th European Signal Processing Conference (EUSIPCO), 279-283, 2022 | 5 | 2022 |
| Streaming Active Learning for Regression Problems Using Regression via Classification S Horiguchi, K Dohi, Y Kawaguchi arXiv preprint arXiv:2309.01013, 2023 | | 2023 |
| CAPTDURE: Captioned Sound Dataset of Single Sources Y Okamoto, K Shimonishi, K Imoto, K Dohi, S Horiguchi, Y Kawaguchi arXiv preprint arXiv:2305.17758, 2023 | | 2023 |
| Anomalous Sound Detection Based on Sound Separation K Shimonishi, K Dohi, Y Kawaguchi arXiv preprint arXiv:2305.15859, 2023 | | 2023 |
| 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 |
| Abnormality degree calculation system and abnormality degree calculation method D Kota, T Endo, Y Kawaguchi US Patent App. 17/590,464, 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 |
| 動的モード分解を用いた音響データの異常検知 土肥宏太， 武石直也， 矢入健久， 堀浩一 人工知能学会全国大会論文集 第 32 回 (2018), 1P202-1P202, 2018 | | 2018 |
| AUDIO-CHANGE CAPTIONING TO EXPLAIN MACHINE-SOUND ANOMALIES STY Kawaguchi, T Nishida, K Imoto, Y Okamoto, K Dohi, T Endo | | |
| USING ARCFACE METRIC LEARNING FOR LOW-COMPLEXITY ACOUSTIC SCENE CLASSIFICATION K Horváth, H Purohit, R Tanabe, K Dohi, T Endo, M Yamamoto, T Nishida, ... | | |
Yohei KawaguchiHitachi, Ltd.Verified email at hitachi.com
