Preprint
Jul 2026
SALMONN-2: Advancing General-Purpose Hearing Abilities with Self-Supervised Representations
A multi-layer feature fusion (MLF) adapter that aggregates information from all encoder layers before projecting them into the language model is proposed and shows that MICL does not emerge naturally in ALLMs, but can be effectively acquired through targeted contextual biasing training.
Xiaoyu Yang, Xuenan Xu, Wenyi Yu et al.
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