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Published October 19, 2017 | Version v3
Dataset Open

EigenScape

  • 1. Department of Electronic Engineering, University of York

Description

EigenScape is a database of acoustic scenes recorded spatially using the mh Acoustics EigenMike. All scenes were recorded in 4th-order Ambisonics - ACN channel ordering with SN3D normalisation at 24-bit / 48 kHz resolution. The database contains recordings of eight different location classes:

  • Beach
  • Busy Street
  • Park
  • Pedestrian Zone
  • Quiet Street
  • Shopping Centre
  • Train Station
  • Woodland

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.

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.

Data recorded by Marc C. Green in May 2017.
 

If you make use of this database in your work, please cite the accompanying paper: https://www.mdpi.com/2076-3417/7/11/1204

Baseline classifier and segmentation tools: https://github.com/marc1701/EigenScape

Recording map: http://bit.ly/EigenSMap

Contact: marc1701@gmail.com

www.marcciufogreen.com

Version 3 - Park 6 and Park 8 now 25-channel Ambisonic versions.
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.

Files

Beach.zip

Files (126.2 GB)

Name Size Download all
md5:3dd3920c3a5e56f534760fa2dac86359
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md5:532b45f5d941d66506c42321a3e062ab
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md5:f5ce72d80ae55bda6d3c5c3d9dd4c776
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md5:cbed105fb56604c4b763788690089d55
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md5:c5d638518b4f7d597dd410ee5bb48b67
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md5:799eb3fccdc628785b3fb69d01e9a7e4
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md5:f3ead0a54b322886b78ca49c7374a987
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md5:3f7541ab39d8b00a5898dd3a35412531
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md5:63fc5406485d5b876ef3805193d63841
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md5:dadcf83c711ef0cf72f7a4d8585eddad
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