Dataset Open Access

ToyADMOS dataset

Yuma Koizumi; Shoichiro Saito; Noboru Harada; Hisashi Uematsu; Keisuke Imoto


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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.3351307", 
  "language": "eng", 
  "title": "ToyADMOS dataset", 
  "issued": {
    "date-parts": [
      [
        2019, 
        7, 
        30
      ]
    ]
  }, 
  "abstract": "<p>ToyADMOS dataset is a machine operating sounds dataset of approximately 540 hours of normal machine operating sounds and over 12,000 samples of anomalous sounds collected with four microphones at a 48kHz sampling rate, prepared by Yuma Koizumi and members in NTT Media Intelligence Laboratories. The dataset consists of three sub-dataset: &quot;toy car&quot; for&nbsp;product inspection task, &quot;toy conveyor&quot; for fault diagnosis for fixed machine task, and &quot;toy train&quot; for fault diagnosis for moving machine task.</p>\n\n<p>Since the total size of the ToyADMOS dataset is over 440GB, each sub-dataset is split into 7-9 files by 7-zip (7z-format). The total size of the compressed dataset is approximately 180GB, and that of each sub-dataset is approximately 60GB. Download the zip files corresponding to sub-datasets of interest and use your favorite compression tool to unzip these split zip files.</p>\n\n<p>The detail of the dataset is described in [1] and GitHub: https://github.com/YumaKoizumi/ToyADMOS-dataset&nbsp;</p>\n\n<p>License: see the file named LICENSE.pdf</p>\n\n<p>[1]&nbsp;Yuma Koizumi, Shoichiro Saito, Noboru Harada, Hisashi Uematsu and Keisuke Imoto, &quot;ToyADMOS: A Dataset of Miniature-Machine Operating Sounds for Anomalous Sound Detection,&quot; in Proc of Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2019.&nbsp;</p>", 
  "author": [
    {
      "family": "Yuma Koizumi"
    }, 
    {
      "family": "Shoichiro Saito"
    }, 
    {
      "family": "Noboru Harada"
    }, 
    {
      "family": "Hisashi Uematsu"
    }, 
    {
      "family": "Keisuke Imoto"
    }
  ], 
  "version": "Version 1", 
  "type": "dataset", 
  "id": "3351307"
}
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