Description and Discussion on DCASE2020 Challenge Task2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring

10 June 2020

Papers citing "Description and Discussion on DCASE2020 Challenge Task2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring"

7 / 7 papers shown

Title
MLPerf Power: Benchmarking the Energy Efficiency of Machine Learning Systems from Microwatts to Megawatts for Sustainable AI Arya Tschand Arun Tejusve Raghunath Rajan S. Idgunji Anirban Ghosh J. Holleman ... Rowan Taubitz Sean Zhan Scott Wasson David Kanter Vijay Janapa Reddi 89 3 0 15 Oct 2024
Anomalous sound detection based on interpolation deep neural network Kaori Suefusa Tomoya Nishida Harsh Purohit Ryo Tanabe Takashi Endo Yohei Kawaguchi 21 120 0 19 May 2020
MIMII Dataset: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection Harsh Purohit Ryo Tanabe K. Ichige Takashi Endo Yuki Nikaido Kaori Suefusa Yohei Kawaguchi 73 306 0 20 Sep 2019
ToyADMOS: A Dataset of Miniature-Machine Operating Sounds for Anomalous Sound Detection Yuma Koizumi Shoichiro Saito Hisashi Uematsu Noboru Harada Keisuke Imoto 35 178 0 09 Aug 2019
Batch Uniformization for Minimizing Maximum Anomaly Score of DNN-based Anomaly Detection in Sounds Yuma Koizumi Shoichiro Saito Masataka Yamaguchi Shin Murata Noboru Harada 47 25 0 19 Jul 2019
AdaFlow: Domain-Adaptive Density Estimator with Application to Anomaly Detection and Unpaired Cross-Domain Translation Masataka Yamaguchi Yuma Koizumi Noboru Harada 42 37 0 14 Dec 2018
Unsupervised Detection of Anomalous Sound based on Deep Learning and the Neyman-Pearson Lemma Yuma Koizumi Shoichiro Saito Hisashi Uematsu Noboru Harada AAML 42 158 0 22 Oct 2018