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arXiv Paper Proposes Frame-Level Grounding for Audio-Language Model Temporal Perception
A new arXiv preprint addresses the limited ability of large audio-language models to pinpoint when specific sounds occur within a recording. The authors propose adding frame-level grounding during training so these models can localize audio events more precisely rather than only describing clips in broad terms. The work targets fine-grained temporal understanding, a known weak point for current audio-language systems.