Dataset Open Access
TUT Rare sound events, Evaluation dataset
Aleksandr Diment; Annamaria Mesaros; Toni Heittola; Tuomas Virtanen
Contact person(s)
Aleksandr DimentData collector(s)
Eemi Fagerlund; Aku HiltunenTUT 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.
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.
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- Publication date:
- January 25, 2018
- DOI:
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- Keyword(s):
- computational auditory scene analysis sound event detection audio rare events
- Grants:
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European Commission:
- EVERYSOUND - Computational Analysis of Everyday Soundscapes (637422)
- Communities:
- License (for files):
- Other (Non-Commercial)