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ToyADMOS: A Dataset of Miniature-Machine Operating Sounds for Anomalous Sound Detection

arXiv 1908.03299 ↗First posted 9 Aug 2019eess.AS cs.LG cs.SDcited by 44

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Abstract (arXiv)

This paper introduces a new dataset called "ToyADMOS" designed for anomaly detection in machine operating sounds (ADMOS). To the best our knowledge, no large-scale datasets are available for ADMOS, although large-scale datasets have contributed to recent advancements in acoustic signal processing. This is because anomalous sound data are difficult to collect. To build a large-scale dataset for ADMOS, we collected anomalous operating sounds of miniature machines (toys) by deliberately damaging them. The released dataset consists of three sub-datasets for machine-condition inspection, fault diagnosis of machines with geometrically fixed tasks, and fault diagnosis of machines with moving tasks. Each sub-dataset includes over 180 hours of normal machine-operating sounds and over 4,000 samples of anomalous sounds collected with four microphones at a 48-kHz sampling rate. The dataset is freely available for download at https://github.com/YumaKoizumi/ToyADMOS-dataset

Key facts. Cited by 44 papers in the map (data through 14 Oct 2026). First posted on arXiv 9 Aug 2019.

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Citing papers per year: 2021: 9; 2022: 7; 2023: 7; 2024: 6; 2025: 8; 2026: 7.

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  17. 2021Health Monitoring of Industrial machines using Scene-Aware Threshold Selectioncited by 1
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