Multi-speaker conversations
Natural, overlapping dialogue between two or more speakers — diarized, turn-segmented, and tagged.
- Speakers
- 2–8 per session
- Modality
- Audio (optional video)
- Format
- Multi-channel WAV + JSON
- Metadata
- Diarization, overlaps, sentiment, demographics
Common use cases
- Diarization & ASR
- Conversational LLM RLHF
- Voice agent evaluation