This version, v5.3.0, provides support for the Evaluation dataset to be used in DCASE2026T2.
The Ground truth labels and score calculation scripts are provided.
The version v5.x.x is updated for use with DCASE2026 Challenge Task 2 (DCASE2026T2).
Tomoya Nishida, Noboru Harada, Daisuke Niizumi, Keisuke Imoto, Kota Dohi, Harsh Purohit, Takashi Endo, and Yohei Kawaguchi, "Description and discussion on DCASE 2026 challenge task 2: Noise-aware Unsupervised Anomalous Sound Detection for Machine Condition Monitoring," In arXiv e-prints: arXiv:2606.01578, 2026. 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 a 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