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ID-Conditioned Auto-Encoder for Unsupervised Anomaly Detection
v1v2 (latest)

ID-Conditioned Auto-Encoder for Unsupervised Anomaly Detection

Workshop on Detection and Classification of Acoustic Scenes and Events (DCASE), 2020
10 July 2020
Slawomir Kapka
    CML
ArXiv (abs)PDFHTML

Papers citing "ID-Conditioned Auto-Encoder for Unsupervised Anomaly Detection"

11 / 11 papers shown
Local Density-Based Anomaly Score Normalization for Domain Generalization
Local Density-Based Anomaly Score Normalization for Domain Generalization
Kevin Wilkinghoff
Haici Yang
Janek Ebbers
François Germain
Gordon Wichern
Jonathan Le Roux
338
5
0
13 Sep 2025
ESTM: An Enhanced Dual-Branch Spectral-Temporal Mamba for Anomalous Sound Detection
ESTM: An Enhanced Dual-Branch Spectral-Temporal Mamba for Anomalous Sound DetectionIEEE Signal Processing Letters (IEEE SPL), 2025
Chengyuan Ma
Peng Jia
Hongyue Guo
Wenming Yang
Mamba
234
0
0
02 Sep 2025
Serial-OE: Anomalous sound detection based on serial method with outlier exposure capable of using small amounts of anomalous data for training
Serial-OE: Anomalous sound detection based on serial method with outlier exposure capable of using small amounts of anomalous data for trainingAPSIPA Transactions on Signal and Information Processing (TASIP), 2025
Ibuki Kuroyanagi
Tomoki Hayashi
K. Takeda
Tomoki Toda
353
3
0
25 May 2025
Transformer-based Autoencoder with ID Constraint for Unsupervised
  Anomalous Sound Detection
Transformer-based Autoencoder with ID Constraint for Unsupervised Anomalous Sound DetectionEURASIP Journal on Audio, Speech, and Music Processing (EURASIP J. Audio Speech Music Process), 2023
Jian Guan
Youde Liu
Qiuqiang Kong
Feiyang Xiao
Qiaoxi Zhu
Jiantong Tian
Wenwu Wang
249
19
0
13 Oct 2023
Why do Angular Margin Losses work well for Semi-Supervised Anomalous
  Sound Detection?
Why do Angular Margin Losses work well for Semi-Supervised Anomalous Sound Detection?IEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2023
Kevin Wilkinghoff
Frank Kurth
AAMLUQCV
229
22
0
27 Sep 2023
Hierarchical Metadata Information Constrained Self-Supervised Learning
  for Anomalous Sound Detection Under Domain Shift
Hierarchical Metadata Information Constrained Self-Supervised Learning for Anomalous Sound Detection Under Domain ShiftIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Haiyan Lan
Qiaoxi Zhu
Jian Guan
Yuming Wei
Wenwu Wang
229
4
0
14 Sep 2023
Anomalous Sound Detection Using Self-Attention-Based Frequency Pattern
  Analysis of Machine Sounds
Anomalous Sound Detection Using Self-Attention-Based Frequency Pattern Analysis of Machine SoundsInterspeech (Interspeech), 2023
Hejing Zhang
Jian Guan
Qiaoxi Zhu
Feiyang Xiao
Youde Liu
265
18
0
27 Aug 2023
Anomalous Sound Detection using Spectral-Temporal Information Fusion
Anomalous Sound Detection using Spectral-Temporal Information FusionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Youde Liu
Jian Guan
Qiaoxi Zhu
Wenwu Wang
281
90
0
14 Jan 2022
Description and Discussion on DCASE 2021 Challenge Task 2: Unsupervised
  Anomalous Sound Detection for Machine Condition Monitoring under Domain
  Shifted Conditions
Description and Discussion on DCASE 2021 Challenge Task 2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring under Domain Shifted ConditionsWorkshop on Detection and Classification of Acoustic Scenes and Events (DCASE), 2021
Yohei Kawaguchi
Keisuke Imoto
Yuma Koizumi
Noboru Harada
Daisuke Niizumi
Kota Dohi
Ryo Tanabe
Harsh Purohit
Takashi Endo
229
122
0
08 Jun 2021
MIMII DUE: Sound Dataset for Malfunctioning Industrial Machine
  Investigation and Inspection with Domain Shifts due to Changes in Operational
  and Environmental Conditions
MIMII DUE: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection with Domain Shifts due to Changes in Operational and Environmental ConditionsIEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2021
Ryo Tanabe
Harsh Purohit
Kota Dohi
Takashi Endo
Yuki Nikaido
Toshiki Nakamura
Yohei Kawaguchi
578
71
0
06 May 2021
Anomalous Sound Detection with Machine Learning: A Systematic Review
Anomalous Sound Detection with Machine Learning: A Systematic Review
E. C. Nunes
414
44
0
15 Feb 2021
1
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