RAVDESS: Speech Emotion Recognition Model Performance with Statistical Validation

Weiguang Dong published a 9.5 KB Excel file on figshare in April 2026. The dataset appears to contain performance metrics for competing methods evaluated on the RAVDESS (Ryerson Audio-Visual Database of Emotional Speech and Song) dataset. It includes statistical validation results for these methods.

Use Cases

• Benchmarking new speech emotion recognition algorithms based on the reported performance metrics.
• Conducting meta-analysis of model performance on the RAVDESS dataset based on the compiled results.
• Validating statistical significance of performance differences between methods based on the included validation data.

Strengths

• Dataset is small (9.5 KB), facilitating quick download and inspection.
• Results include statistical validation, which may support more rigorous comparisons.
• Released under a permissive CC-BY-4.0 license, allowing broad reuse.

Limitations

• Row count and specific column definitions are unknown, requiring manual inspection after download.
• Description metadata is limited; actual data quality and completeness require verification.
• The dataset's small size suggests it contains summary metrics, not the underlying audio or feature data.

Provenance

Source

figshare, author Weiguang Dong.

Collection Method

Likely compiled from experimental results or literature on the RAVDESS dataset.

Time Range

Publication date is 2026; temporal coverage of the underlying results is unknown.

Freshness

Last updated 2026-04-27 17:22:27; freshness should be verified.

Geography

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