| Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context G Team, P Georgiev, VI Lei, R Burnell, L Bai, A Gulati, G Tanzer, ... arXiv preprint arXiv:2403.05530, 2024 | 1319 | 2024 |
| 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 | 278 | 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 | 272 | 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 | 209 | 2018 |
| 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 | 160 | 2020 |
| 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 | 147 | 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 | 138 | 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 | 133 | 2022 |
| 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 | 97 | 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 | 78 | 2019 |
| 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 | 78 | 2018 |
| 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 | 75 | 2020 |
| 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 | 73 | 2023 |
| 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 | 64 | 2020 |
| 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 | 63* | 2017 |
| 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 | 62 | 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 | 59 | 2020 |
| Libritts-r: A restored multi-speaker text-to-speech corpus Y Koizumi, H Zen, S Karita, Y Ding, K Yatabe, N Morioka, M Bacchiani, ... arXiv preprint arXiv:2305.18802, 2023 | 54 | 2023 |
| DF-Conformer: Integrated architecture of Conv-TasNet and Conformer using linear complexity self-attention for speech enhancement Y Koizumi, S Karita, S Wisdom, H Erdogan, JR Hershey, L Jones, ... 2021 IEEE Workshop on Applications of Signal Processing to Audio and …, 2021 | 53 | 2021 |
| 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 | 52 | 2019 |
Noboru HaradaNTT Communication Science Laboratoriesبريد إلكتروني تم التحقق منه على ieee.org