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Description and Discussion on DCASE2020 Challenge Task2: Unsupervised
  Anomalous Sound Detection for Machine Condition Monitoring
v1v2 (latest)

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

10 June 2020
Yuma Koizumi
Yohei Kawaguchi
Keisuke Imoto
Toshiki Nakamura
Yuki Nikaido
Ryo Tanabe
Harsh Purohit
Kaori Suefusa
Takashi Endo
Masahiro Yasuda
Noboru Harada
ArXiv (abs)PDFHTML

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

14 / 64 papers shown
Title
Environment Transfer for Distributed Systems
Environment Transfer for Distributed Systems
Chunheng Jiang
Jae-wook Ahn
N. Desai
60
1
0
06 Jan 2021
Anomalous Sound Detection as a Simple Binary Classification Problem with
  Careful Selection of Proxy Outlier Examples
Anomalous Sound Detection as a Simple Binary Classification Problem with Careful Selection of Proxy Outlier Examples
Paul Primus
Verena Haunschmid
Patrick Praher
Gerhard Widmer
106
29
0
05 Nov 2020
Power pooling: An adaptive pooling function for weakly labelled sound
  event detection
Power pooling: An adaptive pooling function for weakly labelled sound event detection
Yuzhuo Liu
Hangting Chen
Yun Wang
Pengyuan Zhang
29
6
0
20 Oct 2020
ID-Conditioned Auto-Encoder for Unsupervised Anomaly Detection
ID-Conditioned Auto-Encoder for Unsupervised Anomaly Detection
Slawomir Kapka
CML
148
30
0
10 Jul 2020
Anomalous Sound Detection using unsupervised and semi-supervised
  autoencoders and gammatone audio representation
Anomalous Sound Detection using unsupervised and semi-supervised autoencoders and gammatone audio representation
Sergi Perez-Castanos
Javier Naranjo-Alcazar
P. Zuccarello
M. Cobos
37
13
0
27 Jun 2020
Sound Event Detection Using Duration Robust Loss Function
Sound Event Detection Using Duration Robust Loss Function
Daichi Akiyama
Keisuke Imoto
Noriyuki Tonami
Yuki Okamoto
Ryosuke Yamanishi
Takahiro Fukumori
Y. Yamashita
21
1
0
27 Jun 2020
Deep Dense and Convolutional Autoencoders for Unsupervised Anomaly
  Detection in Machine Condition Sounds
Deep Dense and Convolutional Autoencoders for Unsupervised Anomaly Detection in Machine Condition Sounds
Alexandrine Ribeiro
Luís Miguel Matos
P. Pereira
E. C. Nunes
André L. Ferreira
P. Cortez
A. Pilastri
48
29
0
18 Jun 2020
Anomalous sound detection based on interpolation deep neural network
Anomalous sound detection based on interpolation deep neural network
Kaori Suefusa
Tomoya Nishida
Harsh Purohit
Ryo Tanabe
Takashi Endo
Yohei Kawaguchi
64
125
0
19 May 2020
Benchmarking TinyML Systems: Challenges and Direction
Benchmarking TinyML Systems: Challenges and Direction
Colby R. Banbury
Vijay Janapa Reddi
Max Lam
William Fu
A. Fazel
...
Jae-sun Seo
Jeff Sieracki
Urmish Thakker
Marian Verhelst
Poonam Yadav
174
239
0
10 Mar 2020
MIMII Dataset: Sound Dataset for Malfunctioning Industrial Machine
  Investigation and Inspection
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
118
311
0
20 Sep 2019
ToyADMOS: A Dataset of Miniature-Machine Operating Sounds for Anomalous
  Sound Detection
ToyADMOS: A Dataset of Miniature-Machine Operating Sounds for Anomalous Sound Detection
Yuma Koizumi
Shoichiro Saito
Hisashi Uematsu
Noboru Harada
Keisuke Imoto
74
181
0
09 Aug 2019
Batch Uniformization for Minimizing Maximum Anomaly Score of DNN-based
  Anomaly Detection in Sounds
Batch Uniformization for Minimizing Maximum Anomaly Score of DNN-based Anomaly Detection in Sounds
Yuma Koizumi
Shoichiro Saito
Masataka Yamaguchi
Shin Murata
Noboru Harada
76
26
0
19 Jul 2019
AdaFlow: Domain-Adaptive Density Estimator with Application to Anomaly
  Detection and Unpaired Cross-Domain Translation
AdaFlow: Domain-Adaptive Density Estimator with Application to Anomaly Detection and Unpaired Cross-Domain Translation
Masataka Yamaguchi
Yuma Koizumi
Noboru Harada
91
37
0
14 Dec 2018
Unsupervised Detection of Anomalous Sound based on Deep Learning and the
  Neyman-Pearson Lemma
Unsupervised Detection of Anomalous Sound based on Deep Learning and the Neyman-Pearson Lemma
Yuma Koizumi
Shoichiro Saito
Hisashi Uematsu
Noboru Harada
AAML
90
160
0
22 Oct 2018
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