Rohan Paul (@rohanpaul_ai)T2·78 pts
- Provides 100,000 hours of dual-channel, unscripted real conversations covering 10 languages and 50,000 speakers
- Specifically designed to train models on recognizing real interruptions, overlaps, and paralinguistic features like 'um' or 'ah'
- Significantly improves naturalness and response timing in long dialogues compared to traditional TTS-synthetic data