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2211.01716
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Discussion of Features for Acoustic Anomaly Detection under Industrial Disturbing Noise in an End-of-Line Test of Geared Motors
3 November 2022
Peter Wißbrock
David Pelkmann
Yvonne Richter
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Papers citing
"Discussion of Features for Acoustic Anomaly Detection under Industrial Disturbing Noise in an End-of-Line Test of Geared Motors"
6 / 6 papers shown
Title
MIMII DUE: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection with Domain Shifts due to Changes in Operational and Environmental Conditions
Ryo Tanabe
Harsh Purohit
Kota Dohi
Takashi Endo
Yuki Nikaido
Toshiki Nakamura
Yohei Kawaguchi
108
58
0
06 May 2021
Anomalous Sound Detection with Machine Learning: A Systematic Review
E. C. Nunes
142
30
0
15 Feb 2021
Deep Representation Learning in Speech Processing: Challenges, Recent Advances, and Future Trends
S. Latif
R. Rana
Sara Khalifa
Raja Jurdak
Junaid Qadir
Björn W. Schuller
AI4TS
86
82
0
02 Jan 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
89
308
0
20 Sep 2019
Sample-level CNN Architectures for Music Auto-tagging Using Raw Waveforms
Taejun Kim
Jongpil Lee
Juhan Nam
3DV
59
92
0
28 Oct 2017
FMA: A Dataset For Music Analysis
M. Defferrard
Kirell Benzi
P. Vandergheynst
Xavier Bresson
106
440
0
06 Dec 2016
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