The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS)

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The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS)

Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS)

The RAVDESS is a validated multimodal database of emotional speech and song.  The set of 7356 files can be downloaded from the RAVDESS dataset.  The set of recordings were evaluated by 319 individuals who were characteristic of untrained research participants from North America. High levels of emotional validity and intra-individual test-retest intrarater reliability were reported. All recordings are made freely available under a Creative Commons non-commercial license (CC BY-NA-SC 4.0).

RAVDESS Facial Landmark Tracking

This data set contains tracked facial landmark movements from the RAVDESS using OpenFace. Tracked information includes: facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.


Curated by:
Curation policy:

Data sets that are generated as a result of using the original RAVDESS will be included in this community.  The community will be curated by the RAVDESS authors, Dr. Steven R. Livingstone and Dr. Frank A. Russo.

April 5, 2018
Harvesting API:
OAI-PMH Interface

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