1 citations · 1 across the 8 of their papers we have counts for
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A Contrastive Self-Supervised Learning scheme for beat tracking amenable to few-shot learning
Antonin Gagnere, Geoffroy Peeters, Slim Essid
In this paper, we propose a novel Self-Supervised-Learning scheme to train rhythm analysis systems and instantiate it for few-shot beat tracking. Taking inspiration from the Contra…
Episodic fine-tuning prototypical networks for optimization-based few-shot learning: Application to audio classification
Xuanyu Zhuang, Geoffroy Peeters, Gaël Richard
The Prototypical Network (ProtoNet) has emerged as a popular choice in Few-shot Learning (FSL) scenarios due to its remarkable performance and straightforward implementation. Build…
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…