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cs.SD2026
Exploring Representation Autoencoders for Text-to-Audio Generation
Bernardo V. Miranda, Hugo Malard, Gaël Richard +2
Representation autoencoders (RAE), created by pairing a frozen pretrained self-supervised learning (SSL) encoder with a trained decoder, have recently demonstrated state-of-the-art…
cs.IR2026
Unlocking Spatial Grounding in Large Audio-Visual Retrieval models
Hugo Malard, Michel Olvera, Sanjeel Parekh +3
Weak supervision sets a practical regime for audio-visual sound source localization as dense spatial annotations are costly to obtain at scale. The task, however, remains challengi…
eess.AS2026
Conditional Flow Matching for Visually-Guided Acoustic Highlighting
Hugo Malard, Gael Le Lan, Daniel Wong +3
Visually-guided acoustic highlighting seeks to rebalance audio in alignment with the accompanying video, creating a coherent audio-visual experience. While visual saliency and enha…