Emolia-Thinking — a VoiceNet-annotated, balanced subset of Emolia Emolia-Thinking is a richly annotated speech dataset created for the VoiceNet project. It takes a balanced subset of the Emolia corpus — balanced across speaker-embedding clusters and emotion-embedding clusters so that speakers, voices and emotional states are evenly represented rather than dominated by the most common cases — and annotates every clip along the full VoiceNet Extended voice-performance taxonomy… See the full description on the dataset page:
Source: Hugging Face Hub (VoiceNet/emolia-thinking). Metadata imported from the dataset’s Hub tags.