ISMIR Paper: Rethinking Music Mixing as Sequential Stem Blending
affige_yang · x · 2026-08-18
A paper accepted at ISMIR 2026 proposes rethinking automatic music mixing as a sequential stem blending task, shifting from parallel architectures. Inspired by human engineers, the method uses a latent flow matching model conditioned on a submix context to blend tracks sequentially. The paper also introduces a degradation-based data synthesis strategy for realistic training scenarios.
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