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Releases: nttcslab/dcase2023_task2_baseline_ae

v3.3.0

08 Aug 02:59
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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

v3.2.3

19 Jun 09:38
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This version updated required citations for DCASE2024T2.

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.

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

v3.2.2

03 Jun 10:46
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This version fixed some remaining issues in script files to be used for evaluating data in DCASE2024T2.

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

v3.2.1

03 Jun 04:31
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This version fixed a bug in the script that downloads the evaluation datasets to be used in DCASE2024T2.

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

v3.2.0

31 May 13:15
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This version provides support for the evaluation datasets to be used in DCASE2024T2.

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

v3.1.1

24 May 10:44
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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

v3.1.0

15 May 09:18
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This version provides support for the additional training datasets to be used in DCASE2024T2.

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

v3.0.2

12 Apr 19:27
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This version added information about ground truth and citations for each year's task in README.md and README_legacy.md on top of the previous release, v3.0.1.

The version v3.0.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

v3.0.1

02 Apr 02:26
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This version fixed a typo in README.md in the previous release, v3.0.0.

The version v3.0.0 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

v3.0.0

01 Apr 12:38
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This version v3.0.0 is updated 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