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What Selects, What Reconstructs: Repairing Exemplar-Based Complex-Spectrum Separation
Exemplar methods separate a mixture by picking one learned spectrum per source and deforming it until it explains the observation, making one deformation class both reconstructor and selector. We show that the second role is empty as soon as the class can interpolate: the rule then ranks candidates
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