jingangtan/SynthEmoVoice
RecdSER Representation Learning via Causal Deconfounding for Speech Emotion Recognition A causally-deconfounded, time–frequency dual-domain framework for robust speech emotion representation & recognition. Overview Speech emotion recognition (SER) models are notoriously confounded by two nuisance factors entangled in the acoustic signal: the textual semantics of what is said and the speaker timbre of who is speaking. As a result, models… See the full description on the dataset page: https://huggingface.co/datasets/jingangtan/SynthEmoVoice.
| Author / organization | jingangtan |
|---|---|
| Downloads | 198 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 13 September 2026 |
| Last updated at source | 15 September 2026 |
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