5 citations · 7 across the 14 of their papers we have counts for
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cs.SD2023
Self-Supervised Music Source Separation Using Vector-Quantized Source Category Estimates
Marco Pasini, Stefan Lattner, George Fazekas
Music source separation is focused on extracting distinct sonic elements from composite tracks. Historically, many methods have been grounded in supervised learning, necessitating…
eess.AS2023
PESTO: Pitch Estimation with Self-supervised Transposition-equivariant Objective
Alain Riou, Stefan Lattner, Gaëtan Hadjeres +1
In this paper, we address the problem of pitch estimation using Self Supervised Learning (SSL). The SSL paradigm we use is equivariance to pitch transposition, which enables our mo…