Yuhang Dai

Heavy speaker overlap drastically hinders speech recognition accuracy in smart glasses, revealing critical limitations in current audio-language models.

Achieving high accuracy in multi-speaker transcription, SoulX-Transcriber outperforms existing models by effectively addressing speaker overlap and rapid turn-taking.

3D reconstruction models can self-improve at test time by "hallucinating" better versions of themselves from more complete viewpoints, sidestepping the need for costly 3D ground truth.

Achieve human-like full-duplex voice interactions with SoulX-Duplug, a plug-and-play module that slashes latency and improves turn management by acting as a semantic VAD.