Dataset Open Access

ToyADMOS dataset

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


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  <identifier identifierType="DOI">10.5281/zenodo.3351307</identifier>
  <creators>
    <creator>
      <creatorName>Yuma Koizumi</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-3645-6213</nameIdentifier>
      <affiliation>NTT Corporation</affiliation>
    </creator>
    <creator>
      <creatorName>Shoichiro Saito</creatorName>
      <affiliation>NTT Corporation</affiliation>
    </creator>
    <creator>
      <creatorName>Noboru Harada</creatorName>
      <affiliation>NTT Corporation</affiliation>
    </creator>
    <creator>
      <creatorName>Hisashi Uematsu</creatorName>
      <affiliation>NTT Corporation</affiliation>
    </creator>
    <creator>
      <creatorName>Keisuke Imoto</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-0703-8293</nameIdentifier>
    </creator>
  </creators>
  <titles>
    <title>ToyADMOS dataset</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2019</publicationYear>
  <subjects>
    <subject>Anomaly detection</subject>
    <subject>Acoustic condition monitoring</subject>
    <subject>Sound</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2019-07-30</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3351307</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3351306</relatedIdentifier>
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  <version>Version 1</version>
  <rightsList>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;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: &amp;quot;toy car&amp;quot; for&amp;nbsp;product inspection task, &amp;quot;toy conveyor&amp;quot; for fault diagnosis for fixed machine task, and &amp;quot;toy train&amp;quot; for fault diagnosis for moving machine task.&lt;/p&gt;

&lt;p&gt;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.&lt;/p&gt;

&lt;p&gt;The detail of the dataset is described in [1] and GitHub: https://github.com/YumaKoizumi/ToyADMOS-dataset&amp;nbsp;&lt;/p&gt;

&lt;p&gt;License: see the file named LICENSE.pdf&lt;/p&gt;

&lt;p&gt;[1]&amp;nbsp;Yuma Koizumi, Shoichiro Saito, Noboru Harada, Hisashi Uematsu and Keisuke Imoto, &amp;quot;ToyADMOS: A Dataset of Miniature-Machine Operating Sounds for Anomalous Sound Detection,&amp;quot; in Proc of Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2019.&amp;nbsp;&lt;/p&gt;</description>
  </descriptions>
</resource>
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