Emilia fully annotated with EmoNet / Empathic Insight Voice emotion captions & scores - ready for training :)

Hey, we ran our state of the art emotion captioning and emotion estimation scores over all of Emilia. You can find the results here distributed over these five repositories.

https://huggingface.co/datasets/laion/Emilia-with-Emotion-Annotations https://huggingface.co/datasets/laion/Emilia-with-Emotion-Annotations2 https://huggingface.co/datasets/laion/Emilia-with-Emotion-Annotations3 https://huggingface.co/datasets/laion/Emilia-with-Emotion-Annotations4 https://huggingface.co/datasets/laion/Emilia-with-Emotion-Annotations5

https://huggingface.co/Orange/Speaker-wavLM-tbr

I would suggest fine-tuning that is also conditioned on these speaker embeddings because they capture the time-independent attributes of a voice that make up a speaker's identity without confusing it with emotions and arousal. This could eventually enable voice cloning without having a pair for the reference audio. Just take the embedding of the target as conditioning together with the emotion scores.

Have fun! :)