| 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 | 261 | 2020 |
| ToyADMOS: A dataset of miniature-machine operating sounds for anomalous sound detection Y Koizumi, S Saito, H Uematsu, N Harada, K Imoto 2019 IEEE Workshop on Applications of Signal Processing to Audio and …, 2019 | 255 | 2019 |
| Unsupervised detection of anomalous sound based on deep learning and the Neyman–Pearson lemma Y Koizumi, S Saito, H Uematsu, Y Kawachi, N Harada IEEE/ACM Transactions on Audio, Speech, and Language Processing 27 (1), 212-224, 2018 | 202 | 2018 |
| Byol for audio: Self-supervised learning for general-purpose audio representation D Niizumi, D Takeuchi, Y Ohishi, N Harada, K Kashino 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 191 | 2021 |
| ToyADMOS2: Another dataset of miniature-machine operating sounds for anomalous sound detection under domain shift conditions N Harada, D Niizumi, D Takeuchi, Y Ohishi, M Yasuda, S Saito arXiv preprint arXiv:2106.02369, 2021 | 181 | 2021 |
| Complementary set variational autoencoder for supervised anomaly detection Y Kawachi, Y Koizumi, N Harada 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 136 | 2018 |
| 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 | 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 | 96 | 2021 |
| Optimizing acoustic feature extractor for anomalous sound detection based on Neyman-Pearson lemma Y Koizumi, S Saito, H Uematsu, N Harada 2017 25th European Signal Processing Conference (EUSIPCO), 698-702, 2017 | 93 | 2017 |
| The MPEG-4 Audio Lossless Coding (ALS) standard-technology and applications T Liebchen, T Moriya, N Harada, Y Kamamoto, YA Reznik Proc. 119th AES Conv, 1-14, 2005 | 91 | 2005 |
| Deep Griffin–Lim iteration Y Masuyama, K Yatabe, Y Koizumi, Y Oikawa, N Harada ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 76 | 2019 |
| Standardization of the new 3GPP EVS codec S Bruhn, H Pobloth, M Schnell, B Grill, J Gibbs, L Miao, K Järvinen, ... 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 71 | 2015 |
| First-shot anomaly sound detection for machine condition monitoring: A domain generalization baseline N Harada, D Niizumi, Y Ohishi, D Takeuchi, M Yasuda arXiv preprint arXiv:2303.00455, 2023 | 65 | 2023 |
| 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 | 64 | 2023 |
| Real-time speech enhancement using equilibriated RNN D Takeuchi, K Yatabe, Y Koizumi, Y Oikawa, N Harada ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 61 | 2020 |
| Masked Spectrogram Modeling using Masked Autoencoders for Learning General-purpose Audio Representation D Niizumi, D Takeuchi, Y Ohishi, N Harada, K Kashino arXiv preprint arXiv:2204.12260, 2022 | 60 | 2022 |
| BYOL for Audio: Exploring Pre-trained General-purpose Audio Representations D Niizumi, D Takeuchi, Y Ohishi, N Harada, K Kashino IEEE/ACM Transactions on Audio, Speech, and Language Processing 31, 137-151, 2022 | 52 | 2022 |
| Digital signal processing method, processor thereof, program thereof, and recording medium containing the program T Moriya, N Harada, A Jin, K Ikeda US Patent 7,145,484, 2006 | 49 | 2006 |
| First Order Ambisonics Domain Spatial Augmentation for DNN-based Direction of Arrival Estimation L Mazzon, Y Koizumi, M Yasuda, N Harada arXiv preprint arXiv:1910.04388, 2019 | 48 | 2019 |
| SNIPER: Few-shot learning for anomaly detection to minimize false-negative rate with ensured true-positive rate Y Koizumi, S Murata, N Harada, S Saito, H Uematsu ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 48 | 2019 |
Takehiro Moriya, 守谷 健弘NTT, Nippon Telegraph and TelephoneAdresse e-mail validée de m.ieice.org
