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Pierre Chouteau

2 accepted papers

2025

Masked Latent Prediction and Classification for Self-Supervised Audio Representation Learning

ICASSP 2025accepted

Recently, self-supervised learning methods based on masked latent prediction have proven to encode input data into powerful representations. However, during training, the learned latent space can be further transformed to extract higher-level information that could be more suited for down-stream cla…

Cited by 0SourceScholar
2024

A Fully Differentiable Model for Unsupervised Singing Voice Separation

ICASSP 2024accepted

A novel model was recently proposed by Schulze-Forster et al. in [1] for unsupervised music source separation. This model allows to tackle some of the major shortcomings of existing source separation frameworks. Specifically, it eliminates the need for isolated sources during training, performs effi…

Cited by 0SourceScholar