This version added information about ground truth for the DCASE2024T2.
- Added a link to the DCASE2024 task2 evaluator that calculates the official score.
- dcase2024_task2_evaluator
- Added DCASE2024 Task2 Ground Truth data.
- DCASE2024 task2 Ground truth data
- Added DCASE2024 Task2 Ground truth attributes.
- DCASE2024 task2 Ground truth Attributes
- The legacy script has been updated to be compatible with DCASE2024 task2.
The version v3.x.x contains updates for DCASE2024 Challenge Task 2. This version further supports the legacy datasets used in DCASE2020, 2021, 2022, 2023, and 2024 as described in the following paper.
For DCASE2024T2, the following materials should be cited:
- Tomoya Nishida, Noboru Harada, Daisuke Niizumi, Davide Albertini, Roberto Sannino, Simone Pradolini, Filippo Augusti, Keisuke Imoto, Kota Dohi, Harsh Purohit, Takashi Endo, and Yohei Kawaguchi. Description and discussion on DCASE 2024 challenge task 2: first-shot unsupervised anomalous sound detection for machine condition monitoring. In arXiv e-prints: 2406.07250, 2024. URL
- Noboru Harada, Daisuke Niizumi, Daiki Takeuchi, Yasunori Ohishi, Masahiro Yasuda, and Shoichiro Saito. ToyADMOS2: another dataset of miniature-machine operating sounds for anomalous sound detection under domain shift conditions. In Proceedings of the Detection and Classification of Acoustic Scenes and Events Workshop (DCASE), 1–5. Barcelona, Spain, November 2021. URL
- Kota Dohi, Tomoya Nishida, Harsh Purohit, Ryo Tanabe, Takashi Endo, Masaaki Yamamoto, Yuki Nikaido, and Yohei Kawaguchi. MIMII DG: sound dataset for malfunctioning industrial machine investigation and inspection for domain generalization task. In Proceedings of the 7th Detection and Classification of Acoustic Scenes and Events 2022 Workshop (DCASE2022). Nancy, France, November 2022. URL
- Noboru Harada, Daisuke Niizumi, Daiki Takeuchi, Yasunori Ohishi, and Masahiro Yasuda. First-shot anomaly detection for machine condition monitoring: a domain generalization baseline. Proceedings of 31st European Signal Processing Conference (EUSIPCO), pages 191–195, 2023. URL