Title
MIMII Due: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection with Domain Shifts Due to Changes in Operational and Environmental Conditions
Abstract
In this paper, we introduce MIMII DUE, a new dataset for malfunctioning industrial machine investigation and inspection with domain shifts due to changes in operational and environmental conditions. Conventional methods for anomalous sound detection face practical challenges because the distribution of features changes between the training and operational phases (called domain shift) due to variou...
Year
DOI
Venue
2021
10.1109/WASPAA52581.2021.9632802
2021 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)
Keywords
DocType
ISSN
Training,Conferences,Inspection,Signal processing,Feature extraction,Robustness,Acoustics
Conference
1931-1168
ISBN
Citations 
PageRank 
978-1-6654-4870-3
6
0.66
References 
Authors
0
7
Name
Order
Citations
PageRank
Ryo Tanabe1144.78
Purohit, H.2133.76
Kota Dohi391.85
Takashi Endo4297.78
Yuki Nikaido560.66
Toshiki Nakamura673.41
Yohei Kawaguchi7259.48