most citedA Contrastive Self-Supervised Learning scheme for beat tracking amenable to few-shot learning

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cs.SD2025

Controlling Contrastive Self-Supervised Learning with Knowledge-Driven Multiple Hypothesis: Application to Beat Tracking

Antonin Gagnere, Slim Essid, Geoffroy Peeters

Ambiguities in data and problem constraints can lead to diverse, equally plausible outcomes for a machine learning task. In beat and downbeat tracking, for instance, different list…

cs.SD2024

Zero-shot Musical Stem Retrieval with Joint-Embedding Predictive Architectures

Alain Riou, Antonin Gagneré, Gaëtan Hadjeres +2

In this paper, we tackle the task of musical stem retrieval. Given a musical mix, it consists in retrieving a stem that would fit with it, i.e., that would sound pleasant if played…