activity
20192026
most citedDescription and Discussion on DCASE2020 Challenge Task2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring

105 citations · 169 across the 14 of their papers we have counts for

collaborators
Showing cs.SDShow all

4 papers · 1 filter

cs.SD20251 cited

Description and Discussion on DCASE 2025 Challenge Task 2: First-shot Unsupervised Anomalous Sound Detection for Machine Condition Monitoring

Tomoya Nishida, Noboru Harada, Daisuke Niizumi +9

This paper introduces the task description for the Detection and Classification of Acoustic Scenes and Events (DCASE) 2025 Challenge Task 2, titled "First-shot unsupervised anomalo…

cs.SD2023

Description and Discussion on DCASE 2023 Challenge Task 2: First-Shot Unsupervised Anomalous Sound Detection for Machine Condition Monitoring

Kota Dohi, Keisuke Imoto, Noboru Harada +7

We present the task description of the Detection and Classification of Acoustic Scenes and Events (DCASE) 2023 Challenge Task 2: ``First-shot unsupervised anomalous sound detection…

cs.SD2021

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 +4

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 environ…

cs.SD2019

MIMII Dataset: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection

Harsh Purohit, Ryo Tanabe, Kenji Ichige +4

Factory machinery is prone to failure or breakdown, resulting in significant expenses for companies. Hence, there is a rising interest in machine monitoring using different sensors…