Joint sound scene and event dataset
<p>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. </p> <p>Dataset created for the task of performing both acoustic scene classification jointly with sound event detection. Time stamped annotations and jams files included. </p> <p>10 acoustic scene classes, 32 sound event classes.</p> <p>filename syntax is [sceneLabel_recordingID_polyphonylevel]</p> <p>Full credits / citation details are below, please contact Yogi at h.bear@qmul.ac.uk with any queries. </p> <p>Citation:</p> <p>Helen L Bear, Ines Nolasco, and Emmanouil Benetos, <em>Towards joint sound scene and polyphonic sound event detection.</em> Interspeech 2019. Graz. </p> <p>References</p> <ol> <li>Salamon, Justin, et al. "Scaper: A library for soundscape synthesis and augmentation." <em>Applications of Signal Processing to Audio and Acoustics (WASPAA), 2017 IEEE Workshop on</em>. IEEE, 2017.</li> </ol>
ShareScore
40/100
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
- 8
- Engagement
- 4