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The Hume Vocal Burst Competition Dataset (H-VB) | Raw Data [ExVo: updated 02.19.222]

Domaine:

natural language processing

Type de record:

dataset
Créateur:
Alan CowenAlice BardPanagiotis TzirakisMichael Opara
Éditeur:
Zenodo
Hôte:avatar

This package includes the raw data for a subset of The Hume Vocal Burst Database (H-VB).

This dataset contains 59,201 audio recordings of vocal bursts from 1,702 speakers, from 4 cultures, the U.S.A, South Africa, China, and Venezuela, ranging in age from 20 to 39.5 years old.

The total duration of data in this version of H-VB is 36 Hours  (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.  

Emotion Labels: 
Awe, Excitement, Amusement, Awkwardness, Fear, Horror, Distress, Triumph, Sadness, Surprise

For further questions about the data contact: competitions@hume.ai

Visit

doi.org

Tasks

emotion identificationspeech processing

Tags

affective computingmachine learningvocal bursts

Licenses

info:eu-repo/semantics/restrictedAccess