Translation-Equivariant Self-Supervised Learning for Pitch Estimation with Optimal Transport

Abstract

In this paper, we propose an Optimal Transport objective for learning one-dimensional translation-equivariant systems and demonstrate its applicability to single pitch estimation. Our method provides a theoretically grounded, more numerically stable, and simpler alternative for training state-of-the-art self-supervised pitch estimators.

Extended Abstracts for the Late-Breaking Demo Session of the 26th International Society for Music Information Retrieval Conference