Author

Yu Zhang

3 papers indexed here

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Preprint Sep 2026

One-Stage Multi-Task Instruction-Guided 3D Spatial Audio Editing

Spatial audio editing modifies an existing soundfield according to a user's instruction while preserving the rest of the scene. Unlike conventional audio editing, it must reason jointly about audio events, spatial information, dynamic changes, and environmental information in first-order Ambisonic (FOA) waveforms. Exis...

Ke Lei, Chenyuhao Wen, Yu Zhang et al. · 0 citations

Preprint Aug 2026

SwanTale: Unified Multi-Speaker Speech and Audio Generation for Instruct and Zero-Shot Tasks

SwanTale is proposed, a multi-speaker expressive speech and audio generation model that supports both zero-shot and instruct tasks, and adopts reward-conditioned quality control and Engram conditioning along with Unified MoE for multi-task and multi-audio-modality modeling.

Yu Zhang, Ruiqi Li, Changhao Pan et al. · 3 citations

#artificial intelligence Jun 2026

Spatial-Omni: Spatial Audio Understanding Integration in Multimodal LLMs via FOA Encoding

Spatial-Omni is a lightweight method that implements SO-Encoder to inject First-Order Ambisonics (FOA) spatial audio into existing Omni LLMs as an independent modality, without modifying their original audio encoders.

Zhiyuan Zhu, Yixuan Chen, Yiwen Shao et al. · arXiv.org · 11 citations