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The Hume Vocal Burst Competition Dataset (H-VB) | Raw Data [ExVo: updated 02.28.22]

<p>This package includes the raw data for a subset of the Hume Vocal Burst (Hume-VB) dataset used for the&nbsp;<a href="https://www.competitions.hume.ai/exvo2022">ExVo 2022 Competition</a>.<br> <br> <strong>The competition is now over</strong>,&nbsp;please&nbsp;fill&nbsp;out&nbsp;<a href="https://forms.gle/JCsnQZ2wd7tUMmbYA">this&nbsp;form </a>to&nbsp;request&nbsp;access&nbsp;to&nbsp;the&nbsp;full&nbsp;Hume&nbsp;VB&nbsp;dataset.</p> <p>More information on the competition and dataset can be found in the competition <a href="https://arxiv.org/abs/2205.01780">white paper</a>.<br> --&nbsp;<br> This dataset&nbsp;contains&nbsp;<strong>59,201&nbsp;audio recordings of vocal bursts from&nbsp;1,702&nbsp;speakers</strong>, from 4 cultures, the&nbsp;<strong>U.S.A, South Africa, China,&nbsp;</strong>and<strong>&nbsp;Venezuela</strong>, ranging in age from&nbsp;<strong>20&nbsp;to 39.5 years old</strong>.</p> <p>The total duration of data in this version of&nbsp;<strong>Hume-VB&nbsp;is 36 Hours&nbsp;</strong>&nbsp;(Mean: 02.23 &nbsp;sec). A subset of 10 emotional intensity labels is also available. Data has been partitioned into equal training, validation, and test sets, and the test set is blind.&nbsp;&nbsp;</p> <p><strong>Emotion Labels:&nbsp;</strong><br> <em>Awe,&nbsp;Excitement,&nbsp;Amusement,&nbsp;Awkwardness,&nbsp;Fear,&nbsp;Horror,&nbsp;Distress,&nbsp;Triumph,&nbsp;Sadness,&nbsp;Surprise</em><br> <br> &nbsp;</p>

ShareScore

16/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
0
Reuse readiness
0
Engagement
4

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