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@noboru2000 noboru2000 released this 24 May 10:44
· 22 commits to main since this release
v3.1.1
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Learn about vigilant mode.

This version updated the Zenodo link for the DCASE2024T2 additional training dataset
(eval_data_3DPrinter_train.zip and eval_data_RoboticArm_train.zip were replaced with eval_data_3DPrinter_train_r2.zip and eval_data_RoboticArm_train_r2.zip).

The version v3.x.x contains updates for DCASE2024 Challenge Task 2. This version further supports the legacy datasets used in DCASE2020, 2021, 2022, and 2023, as described in the following paper.

Noboru Harada, Daisuke Niizumi, Yasunori Ohishi, Daiki Takeuchi, and Masahiro Yasuda, “ToyADMOS2+: New ToyADMOS data and benchmark results of the First-shot anomalous sound detection baseline,” in Proc. The 8th Detection and Classification of Acoustic Scenes and Events 2023 Workshop (DCASE2023), Tampere, Finland, September 2023, pp. 41—45. URL
Kota Dohi, Keisuke Imoto, Noboru Harada, Daisuke Niizumi, Yuma Koizumi, Tomoya Nishida, Harsh Purohit, Ryo Tanabe, Takashi Endo, and Yohei Kawaguchi, "Description and Discussion on DCASE 2023 Challenge Task 2: First-Shot Unsupervised Anomalous Sound Detection for Machine Condition Monitoring," in arXiv-eprints: 2305.07828, 2023. URL
N. Harada, D. Niizumi, Y. Ohishi, D. Takeuchi and M. Yasuda, "First-Shot Anomaly Sound Detection for Machine Condition Monitoring: A Domain Generalization Baseline," 2023 31st European Signal Processing Conference (EUSIPCO), Helsinki, Finland, 2023, pp. 191-195, doi: 10.23919/EUSIPCO58844.2023.10289721. URL

Assets 2
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