AI RESEARCH
Automatic Contextual Audio Denoising
arXiv CS.LG
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ArXi:2605.22262v1 Announce Type: cross Audio context determines which sound components and sources are relevant and which can be perceived as irrelevant (noise) by listeners. For example, traffic noise is informative in urban surveillance but noise for a call at the same location. Most current audio denoising systems apply fixed target-noise definitions, often removing useful components in one context while failing to suppress irrelevant components. To address this, we