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- W2967687948 abstract "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" @default.
- W2967687948 created "2019-08-22" @default.
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- W2967687948 date "2019-08-08" @default.
- W2967687948 modified "2023-09-26" @default.
- W2967687948 title "ToyADMOS: A Dataset of Miniature-Machine Operating Sounds for Anomalous Sound Detection" @default.
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- W2967687948 doi "https://doi.org/10.48550/arxiv.1908.03299" @default.
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