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20232026
most citedMasked Latent Prediction and Classification for Self-Supervised Audio Representation Learning

5 citations · 15 across the 20 of their papers we have counts for

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6 papers · 1 filter

eess.AS2024★ 1 cited

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…

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…

eess.AS2024

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…

cs.SD2024

Stem-JEPA: A Joint-Embedding Predictive Architecture for Musical Stem Compatibility Estimation

Alain Riou, Stefan Lattner, Gaëtan Hadjeres +2

This paper explores the automated process of determining stem compatibility by identifying audio recordings of single instruments that blend well with a given musical context. To t…

cs.SD2024

Investigating Design Choices in Joint-Embedding Predictive Architectures for General Audio Representation Learning

Alain Riou, Stefan Lattner, Gaëtan Hadjeres +1

This paper addresses the problem of self-supervised general-purpose audio representation learning. We explore the use of Joint-Embedding Predictive Architectures (JEPA) for this ta…

cs.SD2024

Unsupervised Harmonic Parameter Estimation Using Differentiable DSP and Spectral Optimal Transport

Bernardo Torres, Geoffroy Peeters, Gaël Richard

In neural audio signal processing, pitch conditioning has been used to enhance the performance of synthesizers. However, jointly training pitch estimators and synthesizers is a cha…