Dataset Open Access
Joint sound scene and event dataset
Helen L. Bear;
Emmanouil Benetos
A dataset of synthentic sound scenes created in scaper [1]using real-world recordings. Synthesized scenes are split into train and test such that no original recordings are in both splits.
Dataset created for the task of performing both acoustic scene classification jointly with sound event detection. Time stamped annotations and jams files included.
10 acoustic scene classes, 32 sound event classes.
filename syntax is [sceneLabel_recordingID_polyphonylevel]
Full credits / citation details are below, please contact Yogi at h.bear@qmul.ac.uk with any queries.
Citation:
Helen L Bear, Ines Nolasco, and Emmanouil Benetos, Towards joint sound scene and polyphonic sound event detection. Interspeech 2019. Graz.
References
- Salamon, Justin, et al. "Scaper: A library for soundscape synthesis and augmentation." Applications of Signal Processing to Audio and Acoustics (WASPAA), 2017 IEEE Workshop on. IEEE, 2017.
| Name | Size | |
|---|---|---|
|
syntheticSoundscenes.zip
md5:0858a304dfaa9d75a81eedd522281f40 |
6.4 GB | Download |
| All versions | This version | |
|---|---|---|
| Views | 576 | 576 |
| Downloads | 805 | 805 |
| Data volume | 5.1 TB | 5.1 TB |
| Unique views | 523 | 523 |
| Unique downloads | 248 | 248 |
- Publication date:
- February 14, 2019
- DOI:
-
- Keyword(s):
- acoustic scene classification; sound event recognition;
- License (for files):
- Creative Commons Attribution 4.0 International