Supporting material for ISMIR 2026 paper "Masked Diffusion Enables Coherent Beat Tracking"
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Supporting material for ISMIR 2026 paper "Masked Diffusion Enables Coherent Beat Tracking"
// readme
Official inference code and pretrained models for the ISMIR 2026 paper โMasked Diffusion Enables Coherent Beat Trackingโ by Francesco Foscarin, Filip Korzeniowski and Richard Vogl. This work was done at Moises AI. If you use this work, please cite the paper.
For research only. These models were developed and released for research purposes only, under a non-commercial license. If you need beat and downbeat annotations for commercial use, you can get them through Music.AI or the Moises mobile app. These services rely on a separate model, built from the ground up for commercial use and offering improved accuracy.
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