| 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 | 151 | 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 | 145 | 2018 |
| 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 | 144 | 2020 |
| Speech enhancement using self-adaptation and multi-head self-attention Y Koizumi, K Yatabe, M Delcroix, Y Masuyama, D Takeuchi ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 111 | 2020 |
| Complementary set variational autoencoder for supervised anomaly detection Y Kawachi, Y Koizumi, N Harada 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 99 | 2018 |
| 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 | 68 | 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 | 68 | 2017 |
| DNN-based source enhancement to increase objective sound quality assessment score Y Koizumi, K Niwa, Y Hioka, K Kobayashi, Y Haneda IEEE/ACM Transactions on Audio, Speech, and Language Processing 26 (10 …, 2018 | 62 | 2018 |
| DNN-based Source Enhancement Self-optimized by Reinforcement Learning using Sound Quality Measurements Yuma Koizumi, Kenta Niwa, Yusuke Hioka, Kazunori Kobayashi, Yoichi Haneda Acoustics, Speech and Signal Processing (ICASSP), 2017 IEEE International …, 2017 | 59* | 2017 |
| 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 | 58 | 2019 |
| A transformer-based audio captioning model with keyword estimation Y Koizumi, R Masumura, K Nishida, M Yasuda, S Saito arXiv preprint arXiv:2007.00222, 2020 | 51 | 2020 |
| 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 | 41 | 2022 |
| Listen to what you want: Neural network-based universal sound selector T Ochiai, M Delcroix, Y Koizumi, H Ito, K Kinoshita, S Araki arXiv preprint arXiv:2006.05712, 2020 | 38 | 2020 |
| Sound event detection by multitask learning of sound events and scenes with soft scene labels K Imoto, N Tonami, Y Koizumi, M Yasuda, R Yamanishi, Y Yamashita ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 36 | 2020 |
| 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 | 33 | 2019 |
| Adaflow: Domain-adaptive density estimator with application to anomaly detection and unpaired cross-domain translation M Yamaguchi, Y Koizumi, N Harada ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 33 | 2019 |
| 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 | 32 | 2019 |
| 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 | 29 | 2020 |
| Stable training of DNN for speech enhancement based on perceptually-motivated black-box cost function M Kawanaka, Y Koizumi, R Miyazaki, K Yatabe ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 26 | 2020 |
| Pinpoint extraction of distant sound source based on DNN mapping from multiple beamforming outputs to prior SNR K Niwa, Y Koizumi, T Kawase, K Kobayashi, Y Hioka 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 25 | 2016 |
Noboru HaradaNTT Communication Science LaboratoriesVerified email at ieee.org
