Dataset Open Access

EigenScape

Marc Ciufo Green; Damian Murphy


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  <identifier identifierType="DOI">10.5281/zenodo.1284156</identifier>
  <creators>
    <creator>
      <creatorName>Marc Ciufo Green</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-9681-8998</nameIdentifier>
      <affiliation>Department of Electronic Engineering, University of York</affiliation>
    </creator>
    <creator>
      <creatorName>Damian Murphy</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-6676-9459</nameIdentifier>
      <affiliation>Department of Electronic Engineering, University of York</affiliation>
    </creator>
  </creators>
  <titles>
    <title>EigenScape</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2017</publicationYear>
  <subjects>
    <subject>Soundscape</subject>
    <subject>Acoustic Environment</subject>
    <subject>Acoustic Scene Classification</subject>
    <subject>Ambisonics</subject>
    <subject>Spatial Audio</subject>
    <subject>Eigenmike</subject>
    <subject>Machine learning</subject>
    <subject>Machine listening</subject>
    <subject>Audio</subject>
    <subject>Sound</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2017-10-19</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/1284156</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.1012808</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/uoy-audiolab</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="http://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;EigenScape is a database of acoustic scenes recorded spatially using the mh Acoustics EigenMike. All scenes were recorded in 4th-order Ambisonics -&amp;nbsp;ACN channel ordering with SN3D normalisation&amp;nbsp;at 24-bit / 48 kHz resolution. The database contains recordings of eight different location classes:&lt;/p&gt;

&lt;ul&gt;
	&lt;li&gt;Beach&lt;/li&gt;
	&lt;li&gt;Busy Street&lt;/li&gt;
	&lt;li&gt;Park&lt;/li&gt;
	&lt;li&gt;Pedestrian Zone&lt;/li&gt;
	&lt;li&gt;Quiet Street&lt;/li&gt;
	&lt;li&gt;Shopping Centre&lt;/li&gt;
	&lt;li&gt;Train Station&lt;/li&gt;
	&lt;li&gt;Woodland&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;The recordings were made in May 2017 at sites across the North of England. 8 different examples of each location class were recorded over a duration of 10 minutes for 64 recordings in total. The provided metadata file gives more detail on each recording, and the EigenScape recording map (see link below) shows the locations and classes of all the recordings.&lt;/p&gt;

&lt;p&gt;EigenScape Lite is a condensed version of EigenScape designed for a more lightweight download. This version of the dataset features 1st-order Ambisonic channels only, losslessly compressed to FLAC format.&lt;/p&gt;

&lt;p&gt;Data recorded by Marc C. Green in May 2017.&lt;br&gt;
&amp;nbsp;&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;If you make use of this database in your work, please cite the accompanying paper:&amp;nbsp;https://www.mdpi.com/2076-3417/7/11/1204&lt;/strong&gt;&lt;br&gt;
&lt;br&gt;
&lt;strong&gt;Baseline classifier and segmentation tools:&amp;nbsp;https://github.com/marc1701/EigenScape&lt;br&gt;
&lt;br&gt;
Recording map:&amp;nbsp;http://bit.ly/EigenSMap&lt;br&gt;
&lt;br&gt;
Contact: marc.c.green@york.ac.uk&lt;br&gt;
&lt;br&gt;
www.marcciufogreen.co.uk&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;&lt;sub&gt;Version 2 of the dataset has different ZIP files, as there was a problem unzipping the original files in macOS. All of the audio is identical.&lt;/sub&gt;&lt;/p&gt;</description>
  </descriptions>
</resource>
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