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cs.SD2026
Direct Preference Density Alignment for Conversational Audio Equalization
Ioannis Stylianou, Sven Ewan Shepstone, Jon Francombe +2
Large Language Model alignment typically relies on learned proxy reward models, which significantly increase the memory footprint during training and are notoriously prone to insta…
cs.SD2026
One Prompt, Many Sounds: Modeling Listener Variability in LLM-Based Equalization
Ioannis Stylianou, Jon Francombe, Pablo Martinez-Nuevo +2
Conventional audio equalization is a static process that requires manual and cumbersome adjustments to adapt to changing listening contexts (e.g., mood, location, or social setting…