| 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 |
| 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 |
| First-shot anomaly sound detection for machine condition monitoring: A domain generalization baseline N Harada, D Niizumi, Y Ohishi, D Takeuchi, M Yasuda 2023 31st European Signal Processing Conference (EUSIPCO), 191-195, 2023 | 66 | 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 |
| Masked spectrogram modeling using masked autoencoders for learning general-purpose audio representation D Niizumi, D Takeuchi, Y Ohishi, N Harada, K Kashino HEAR: Holistic Evaluation of Audio Representations, 1-24, 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 |
| Audio captioning using pre-trained large-scale language model guided by audio-based similar caption retrieval Y Koizumi, Y Ohishi, D Niizumi, D Takeuchi, M Yasuda arXiv preprint arXiv:2012.07331, 2020 | 47 | 2020 |
| 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 | 44 | 2021 |
| Masked modeling duo: Learning representations by encouraging both networks to model the input D Niizumi, D Takeuchi, Y Ohishi, N Harada, K Kashino ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 29 | 2023 |
| 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 | 28 | 2024 |
| Acoustic scene classification: A competition review S Gharib, H Derrar, D Niizumi, T Senttula, J Tommola, T Heittola, ... 2018 IEEE 28th International Workshop on Machine Learning for Signal …, 2018 | 25 | 2018 |
| Conceptbeam: Concept driven target speech extraction Y Ohishi, M Delcroix, T Ochiai, S Araki, D Takeuchi, D Niizumi, A Kimura, ... Proceedings of the 30th ACM International Conference on Multimedia, 4252-4260, 2022 | 18 | 2022 |
| Audio difference captioning utilizing similarity-discrepancy disentanglement D Takeuchi, Y Ohishi, D Niizumi, N Harada, K Kashino arXiv preprint arXiv:2308.11923, 2023 | 7 | 2023 |
| Masked Modeling Duo: Towards a Universal Audio Pre-Training Framework D Niizumi, D Takeuchi, Y Ohishi, N Harada, K Kashino IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2024 | 6 | 2024 |
| Composing general audio representation by fusing multilayer features of a pre-trained model D Niizumi, D Takeuchi, Y Ohishi, N Harada, K Kashino 2022 30th European Signal Processing Conference (EUSIPCO), 200-204, 2022 | 6 | 2022 |
| Masked modeling duo for speech: Specializing general-purpose audio representation to speech using denoising distillation D Niizumi, D Takeuchi, Y Ohishi, N Harada, K Kashino arXiv preprint arXiv:2305.14079, 2023 | 4 | 2023 |
| Introducing auxiliary text query-modifier to content-based audio retrieval D Takeuchi, Y Ohishi, D Niizumi, N Harada, K Kashino arXiv preprint arXiv:2207.09732, 2022 | 4 | 2022 |
| M2D-CLAP: Masked Modeling Duo Meets CLAP for Learning General-purpose Audio-Language Representation D Niizumi, D Takeuchi, Y Ohishi, N Harada, M Yasuda, S Tsubaki, K Imoto Interspeech, 57-61, 2024 | 2 | 2024 |
