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ShareScore release 0.9.0
Dataset results
2 results for “vocal bursts”
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 <a href="https://www.competitions.hume.ai/exvo2022">ExVo 2022 Competition</a>.<br> <br> <strong>The competition is now over</strong>, please fill out <a href="https://forms.gle/JCsnQZ2wd7tUMmbYA">this form </a>to request access to the full Hume VB 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> -- <br> This dataset contains <strong>59,201 audio recordings of vocal bursts from 1,702 speakers</strong>, from 4 cultures, the <strong>U.S.A, South Africa, China, </strong>and<strong> Venezuela</strong>, ranging in age from <strong>20 to 39.5 years old</strong>.</p> <p>The total duration of data in this version of <strong>Hume-VB is 36 Hours </strong> (Mean: 02.23 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. </p> <p><strong>Emotion Labels: </strong><br> <em>Awe, Excitement, Amusement, Awkwardness, Fear, Horror, Distress, Triumph, Sadness, Surprise</em><br> <br> </p>
The Hume Vocal Burst Competition Dataset (H-VB) | Raw Data [A-VB: updated 03.01.22]
<p>This package includes the raw data for a subset of The Hume Vocal Burst Database (H-VB).</p> <p>This dataset contains <strong>59,201 audio recordings of vocal bursts from 1,702 speakers</strong>, from 4 cultures, the <strong>U.S.A, South Africa, China, </strong>and<strong> Venezuela</strong>, ranging in age from <strong>20 to 39.5 years old</strong>.</p> <p>The total duration of data in this version of <strong>H-VB is 36 Hours </strong> (Mean: 02.23 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. </p> <p><strong>Emotion Labels: </strong><br> <em>Awe, Excitement, Amusement, Awkwardness, Fear, Horror, Distress, Triumph, Sadness, Surprise, Valence, Arousal</em></p> <p>For further questions about the data contact: <strong>competitions@hume.ai</strong></p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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