A flow-matching model equipped with a learned permutation-equivariant token mapping outperforms regression and generative baselines at inferring synthesizer parameters from audio.
Analytic Signal Processing in Music Computation
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Audio synthesizer inversion in symmetric parameter spaces with approximately equivariant flow matching
A flow-matching model equipped with a learned permutation-equivariant token mapping outperforms regression and generative baselines at inferring synthesizer parameters from audio.