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Perceptually Motivated Alignment and Interpolation of Pitch-Aligned Time-Frequency Representations
We propose a framework for the alignment and interpolation of pitch-aligned time-frequency representations. Building on the tonal interval vector, we introduce a series of extensions that reformulate it as an invertible operator, culminating in a new feature extractor that embeds perceptual consonan
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