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Zhifang Guo

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#artificial intelligence Preprint Sep 2026

OmniEcho: Audio-Visual Spatial Understanding for Omni-Modal Embodied Agents

Humans can effortlessly localize the direction of a sound source and integrate it with visual cues for reasoning, yet this remains challenging for embodied agents. In particular, it is still unclear how to effectively evaluate and model spatial audio understanding in embodied settings. To address this gap, we introduce...

Rui-Xun Liu, Yuxuan Wang, Jia-Cheng Xie et al. · 1 citation · ⚡1
Preprint Aug 2026

DiaScriber: A Speech LLM for Joint Diarization and Transcription in Multi-Speaker Scenarios

DiaScriber is proposed, an end-to-end multi-speaker diarization and transcription model built on a speech large language model that achieves superior performance over comparison methods across extensive multi-speaker scenario test sets and demonstrates outstanding generalization ability in unseen multi-speaker scenario...

Bing-Shen Mu, Xian Shi, Xiong Wang et al. · 0 citations

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