A large joint sound scene and sound event dataset for source separation of foreground sound events
<p>This large scale data set contains 10000 samples of sound scenes generated from real world recordings, and the original source recordings. It includes 10 different backgrounds with 6-9 appropriate foreground sound events. Strong labels (timed annotations) are provided in four formats for all samples. The original sourceids to identify the class type, a two source method to simply separate foreground and backgrounds, a 32 source annotation for all distinct foregrounds, and a by background (scene) type annotation where sources are according to the background. </p> <p>Baseline results will be presented later in 2020. Further evolutions of this dataset will also be produced with more complex, polyphonic foreground sound events. Please email h.bear@qmul.ac.uk with any questions.</p> <p>Data is free to use for Research purposes only. </p>
ShareScore
28/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 0
- Engagement
- 0
Topics
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