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Published January 25, 2018 | Version v1
Dataset Open

TUT Rare sound events, Evaluation dataset

  • 1. Tampere University of Technology

Contributors

Contact person:

  • 1. Tampere University of Technology

Description

TUT Rare Sound events 2017, evaluation dataset consists of source files for creating mixtures of rare sound events (classes baby cry, gun shot, glass break) with background audio, as well a set of readily generated mixtures and recipes for generating them.

The "source" part of the dataset consists of two subsets:

  • background recordings from 15 different acoustic scenes,
  • recordings with the target rare sound events from three classes, accompanied by annotations of their temporal occurrences.

The mixture set consists of two 1500 mixtures (500 per target class, with half of the mixtures not containing any target class events). 

The collection of the background recording data has been financially supported by European Research Council under the European Unions H2020 Framework Programme through ERC Grant Agreement 637422 EVERYSOUND.

Notes

The license terms are specified in the LICENSE.txt file.

Files

FREESOUNDCREDITS.txt

Files (7.4 GB)

Name Size Download all
md5:3ecea52bdb0eadd6e1af52a21f735d6d
17.9 kB Preview Download
md5:0707857098fc74d17beb824416fb74b1
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md5:cae4399f00fbb93dc64407b54b8a4142
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md5:36db98a94ce871c6bdc5bd5238383114
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md5:db4aecd5175dead27ceb2692e7f28bb1
1.1 GB Preview Download
md5:e97d5842c46805cdb94e6d4017870cde
1.1 GB Preview Download
md5:1fe20c762cecd26979e2c5303c8e9f48
1.1 GB Preview Download
md5:5042cd00aed9af6b37a253e24f88554f
1.1 GB Preview Download
md5:72180597ed5bfaa73491755f74b84738
308.3 MB Preview Download
md5:bdac8b7a6f1518eb24dc7b2ba11c5a4a
1.1 GB Preview Download
md5:032f1c07b7c9192fb0821641e8a0a95e
1.1 GB Preview Download
md5:44399f1b476199426bb123696c4cc134
509.5 MB Preview Download
md5:5c037df9c1012411a1f2c1325fe20163
139.1 MB Preview Download

Additional details

Funding

EVERYSOUND – Computational Analysis of Everyday Soundscapes 637422
European Commission

References

  • Annamaria Mesaros, Toni Heittola, Aleksandr Diment, Benjamin Elizalde, Ankit Shah, Emmanuel Vincent, Bhiksha Raj, and Tuomas Virtanen. DCASE 2017 challenge setup: tasks, datasets and baseline system. In Proceedings of the Detection and Classification of Acoustic Scenes and Events 2017 Workshop (DCASE2017), pp 85–92. November 2017.