dcase2020_task2

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Technical Report

See Primus_CP-JKU.pdf.

Install

1. To setup project & download data run the following commands:

   • ./setup.sh
   • download data (https://zenodo.org/record/3678171#.XnTC7nVKjmE) & unzip into ~/shared/DCASE2020_Task2 (you can specify a different location in the configuration)

2. Setup MongoDB & Ominboard for Sacred Logger

   • https://docs.mongodb.com/manual/installation/
   • https://github.com/vivekratnavel/omniboard

References

• Yuma Koizumi, Yohei Kawaguchi, Keisuke Imoto, Toshiki Nakamura, Yuki Nikaido, Ryo Tanabe, Harsh Purohit, Kaori Suefusa, Takashi Endo, Masahiro Yasuda, and Noboru Harada. Description and discussion on DCASE2020 challenge task2: unsupervised anomalous sound detection for machine condition monitoring. In arXiv e-prints: 2006.05822, 1–4. June 2020. URL: https://arxiv.org/abs/2006.05822.
• Yuma Koizumi, Shoichiro Saito, Hisashi Uematsu, Noboru Harada, and Keisuke Imoto. ToyADMOS: a dataset of miniature-machine operating sounds for anomalous sound detection. In Proceedings of IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 308–312. November 2019. URL: https://ieeexplore.ieee.org/document/8937164.
• Harsh Purohit, Ryo Tanabe, Takeshi Ichige, Takashi Endo, Yuki Nikaido, Kaori Suefusa, and Yohei Kawaguchi. MIMII Dataset: sound dataset for malfunctioning industrial machine investigation and inspection. In Proceedings of the Detection and Classification of Acoustic Scenes and Events 2019 Workshop (DCASE2019), 209–213. November 2019. URL: http://dcase.community/documents/workshop2019/proceedings/DCASE2019Workshop_Purohit_21.pdf.

Citation

If you use any parts of the implementation please cite:

@techreport{Primus2020DCASEChallenge,
    Author      =   {Primus, Paul},
    institution =   {{DCASE2020 Challenge}},
    title       =   {Reframing Unsupervised Machine Condition Monitoring as a Supervised Classification Task with Outlier-Exposed Classifiers},
    month       =   {June},
    year        =   2020
}

If you use the model or the model implementation please cite the following paper:

@inproceedings{Koutini2019Receptive,
    author      =   {Koutini, Khaled and Eghbal-zadeh, Hamid and Dorfer, Matthias and Widmer, Gerhard},
    title       =   {{The Receptive Field as a Regularizer in Deep Convolutional Neural Networks for Acoustic Scene Classification}},
    booktitle   =   {Proceedings of the European Signal Processing Conference (EUSIPCO)},
    address     =   {A Coru\~{n}a, Spain},
    year        =   2019
}

Links

• Sacred GitHub
• Omniboard
• PyTorch Lightning