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News/MiCLA: Mixture-to-Constituent Latent Alignment for Polyphonic Audio Representation Learning
arxiv
PublishedOctober 21, 2026 at 4:00 AM

MiCLA: Mixture-to-Constituent Latent Alignment for Polyphonic Audio Representation Learning

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arXiv:2610.27491v1 Announce Type: cross Abstract: Real-world audio typically contains concurrent sound events, yet standard self-supervised methods treat each clip as an isolated training unit without explicitly modeling mixture--constituent relationships. We propose Mixture-to-Constituent Latent Al

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