See Primus_CP-JKU.pdf.
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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)
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Setup MongoDB & Ominboard for Sacred Logger
- 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.
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
}