arXiv AI By Jing Peng, Zichao Nie, Zhisheng Zhang, Jingran Xie, Zhiyong Wu

Discrete vs. Continuous: A Comprehensive Study of Unified Audio Understanding in LALMs

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arXiv AI
1d ago

UniAE-MoE: A Unified Audio Encoder via Mixture of Experts

UniAE-MoE is a unified audio encoder that uses a Mixture-of-Experts architecture to model cross‑domain audio representations. It integrates encoder components from Qwen2‑Audio and Audio‑Flamingo 3, enhances them with SwiGLU and shared experts, and applies a two‑stage instruction‑tuning strategy along with task‑specific data scaling. The model achieves state‑of‑the‑art results on the XARES‑LLM benchmark (0.802) and tops the Interspeech 2026 Audio Encoder Capability Challenge, demonstrating strong generalization across speech, music, and general audio tasks.

By Shengbo Cai, Zhisheng Zhang, Zichao Nie, Jing Peng, Jingran Xie, Zhiyong Wu