Perceptually Motivated Alignment and Interpolation of Pitch-Aligned Time-Frequency Representations

Shahan Nercessian; Jeff Sontag; Alejandro Koretzky
DAFx-2026 - Cambridge
This paper proposes methods for alignment and interpolation of pitch-aligned time-frequency representations, building on the tonal interval vector. Extensions reformulate it as an invertible operator, enabling alignment via permutation search under perceptually weighted distances and interpolation via optimal transport with a circular formulation respecting harmonic structure. The work also develops a geometric scale representation factorizing scale structure into root, density, and color.
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