| 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 | 394 | 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 | 273 | 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 | 180 | 2020 |
| Face Recognition-based Lecture Attendance System Y Kawaguchi, T Shoji, WJ Lin, K Kakusho, M Minoh The 3rd AEARU Workshop on Network Education, PP.65-69, 2005 | 145 | 2005 |
| 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 | 132 | 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 | 126 | 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 | 100 | 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 | 97 | 2021 |
| Sound monitoring system for sound field selection based on stored microphone data M Togami, Y Kawaguchi US Patent 8,682,675, 2014 | 93 | 2014 |
| 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 | 85 | 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 | 70 | 2023 |
| Optimized speech dereverberation from probabilistic perspective for time varying acoustic transfer function M Togami, Y Kawaguchi, R Takeda, Y Obuchi, N Nukaga IEEE Transactions on Audio, Speech, and Language Processing 21 (7), 1369-1380, 2013 | 68 | 2013 |
| How can we detect anomalies from subsampled audio signals? Y Kawaguchi, T Endo 2017 IEEE 27th International Workshop on Machine Learning for Signal …, 2017 | 67 | 2017 |
| 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 | 59 | 2019 |
| 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 | 45 | 2021 |
| Towards neural diarization for unlimited numbers of speakers using global and local attractors S Horiguchi, S Watanabe, P García, Y Xue, Y Takashima, Y Kawaguchi 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 98-105, 2021 | 43 | 2021 |
| High‐throughput walkthrough detection portal for counter terrorism: detection of triacetone triperoxide (TATP) vapor by atmospheric‐pressure chemical ionization ion trap mass … Y Takada, H Nagano, Y Suzuki, M Sugiyama, E Nakajima, Y Hashimoto, ... Rapid Communications in Mass Spectrometry 25 (17), 2448-2452, 2011 | 42 | 2011 |
| Description and Discussion on DCASE 2024 Challenge Task 2: First-Shot Unsupervised Anomalous Sound Detection for Machine Condition Monitoring T Nishida, N Harada, D Niizumi, D Albertini, R Sannino, S Pradolini, ... arXiv preprint arXiv:2406.07250, 2024 | 31 | 2024 |
| 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 | 29 | 2020 |
| 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 |
Masahito TogamiAmazon JapanVerified email at amazon.com
