Anomalous Sound Detectin as a Simple Binary Classification Problem with Careful Selection of Proxy Oulier Examples

1. To setup the project 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

Run experiment

see scripts folder

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.
• Khaled Koutini, Hamid Eghbal-zadeh, Matthias Dorfer, and Gerhard Widmer. The Receptive Field as a Regularizer in Deep Convolutional Neural Networks for Acoustic Scene Classification. In Proceedings of the European Signal Processing Conference (EUSIPCO), June 2019. URL: https://arxiv.org/pdf/1907.01803.pdf.