Papers › Large Raw Emotional Dataset with Aggregation Mechanism
Large Raw Emotional Dataset with Aggregation Mechanism
Vladimir Kondratenko, Artem Sokolov, Nikolay Karpov, Oleg Kutuzov, Nikita Savushkin, Fyodor Minkin
We present a new data set for speech emotion recognition (SER) tasks called Dusha. The corpus contains approximately 350 hours of data, more than 300 000 audio recordings with Russian speech and their transcripts. Therefore it is the biggest open bi-modal data collection for SER task nowadays. It is annotated using a crowd-sourcing platform and includes two subsets: acted and real-life. Acted subset has a more balanced class distribution than the unbalanced real-life part consisting of audio podcasts. So the first one is suitable for model pre-training, and the second is elaborated for fine-tuning purposes, model approbation, and validation. This paper describes pre-processing routine, annotation, and experiment with a baseline model to demonstrate some actual metrics which could be obtained with the Dusha data set.
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Tasks
Datasets
Introduced by this paper, per the archive.
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Speech Emotion Recognition | Dusha Crowd | Dusha baseline | Macro F1 | 0.77 | #1 of 1 | Archive leaderboard | report |
| Speech Emotion Recognition | Dusha Crowd | Dusha baseline | UA | 0.83 | #1 of 1 | Archive leaderboard | report |
| Speech Emotion Recognition | Dusha Crowd | Dusha baseline | WA | 0.76 | #1 of 1 | Archive leaderboard | report |
| Speech Emotion Recognition | Dusha Podcast | Dusha baseline | Macro F1 | 0.54 | #1 of 1 | Archive leaderboard | report |
| Speech Emotion Recognition | Dusha Podcast | Dusha baseline | UA | 0.89 | #1 of 1 | Archive leaderboard | report |
| Speech Emotion Recognition | Dusha Podcast | Dusha baseline | WA | 0.53 | #1 of 1 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
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