mlsanityData to 14 Oct 2026

Description and Discussion on DCASE 2024 Challenge Task 2: First-Shot Unsupervised Anomalous Sound Detection for Machine Condition Monitoring

arXiv 2406.07250 ↗First posted 11 Jun 2024eess.AS cs.LG cs.SDcited by 11

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Abstract (arXiv)

We present the task description of the Detection and Classification of Acoustic Scenes and Events (DCASE) 2024 Challenge Task 2: First-shot unsupervised anomalous sound detection (ASD) for machine condition monitoring. Continuing from last year's DCASE 2023 Challenge Task 2, we organize the task as a first-shot problem under domain generalization required settings. The main goal of the first-shot problem is to enable rapid deployment of ASD systems for new kinds of machines without the need for machine-specific hyperparameter tunings. This problem setting was realized by (1) giving only one section for each machine type and (2) having completely different machine types for the development and evaluation datasets. For the DCASE 2024 Challenge Task 2, data of completely new machine types were newly collected and provided as the evaluation dataset. In addition, attribute information such as the machine operation conditions were concealed for several machine types to mimic situations where such information are unavailable. We will add challenge results and analysis of the submissions after the challenge submission deadline.

Key facts. Cited by 11 papers in the map (data through 14 Oct 2026). Builds on 10 of its 13 references that are in the map. First posted on arXiv 11 Jun 2024.

Builds on

10 of 13 references.

References · 10

  1. 2020Description and Discussion on DCASE2020 Challenge Task2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoringcited by 43
  2. 2020Anomalous sound detection based on interpolation deep neural networkcited by 34
  3. 2021ToyADMOS2: Another dataset of miniature-machine operating sounds for anomalous sound detection under domain shift conditionscited by 26
  4. 2022MIMII DG: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection for Domain Generalization Taskcited by 23
  5. 2018Unsupervised Detection of Anomalous Sound based on Deep Learning and the Neyman-Pearson Lemmacited by 19
  6. 2023Description and Discussion on DCASE 2023 Challenge Task 2: First-Shot Unsupervised Anomalous Sound Detection for Machine Condition Monitoringcited by 18
  7. 2021Description and Discussion on DCASE 2021 Challenge Task 2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring under Domain Shifted Conditionscited by 16
  8. 2023First-shot anomaly sound detection for machine condition monitoring: A domain generalization baselinecited by 15
  9. 2020Deep Autoencoding GMM-based Unsupervised Anomaly Detection in Acoustic Signals and its Hyper-parameter Optimizationcited by 12
  10. 2019Batch Uniformization for Minimizing Maximum Anomaly Score of DNN-based Anomaly Detection in Soundscited by 8

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 5; 2026: 6.

11 papers.

  1. 2025Planing It by Ear: Convolutional Neural Networks for Acoustic Anomaly Detection in Industrial Wood Planerscited by 2
  2. 2025FISHER: A Foundation Model for Multi-Modal Industrial Signal Comprehensive Representationcited by 2
  3. 2025An Enhanced Audio Feature Tailored for Anomalous Sound Detection Based on Pre-trained Modelscited by 1
  4. 2026AP-OOD: Attention Pooling for Out-of-Distribution Detectioncited by 1
  5. 2026Can We Predict Anomaly Detection Performance from Embedding-Space Geometry?cited by 1
  6. 2025MIMII-Agent: Leveraging LLMs with Function Calling for Relative Evaluation of Anomalous Sound Detectioncited by 0
  7. 2025ECHO: Frequency-aware Hierarchical Encoding for Variable-length Signalscited by 0
  8. 2026Sub-Band Spectral Matching with Localized Score Aggregation for Robust Anomalous Sound Detectioncited by 0
  9. 2026TinyML for Acoustic Anomaly Detection in IoT Sensor Networkscited by 0
  10. 2026Out of Context: Reliability in Multimodal Anomaly Detection Requires Contextual Inferencecited by 0
  11. 2026Anomaly-Free Self-Optimization via AUC Boundscited by 0