You can generate multi-speaker audio with natural conversational qualities by using reference voices + free-form text prompts on foundation models, rather than building speech-only systems with rigid turn-based structure.
ScenA generates realistic multi-speaker audio scenes by conditioning a text-to-audio model on reference voice samples and natural language descriptions. Unlike systems that require structured turn-by-turn labels, it produces conversational audio with overlapping speech, background noise, and emotional sounds—mimicking real-world conversations.