Yu Xi

DiaScriber achieves unprecedented accuracy in multi-speaker scenarios, overcoming the challenges of overlapping speech and rapid transitions.

Finally, a speech tokenizer that doesn't require extra optimization tricks to work robustly for both generation and understanding tasks in a unified architecture.

Over-reliance on agentic decomposition can actually *hurt* audio understanding when a strong audio frontend already provides sufficient information, highlighting the importance of conditional evidence acquisition.