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Aurian Quelennec

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

On The Choice of the Optimal Temporal Support for Audio Classification with Pre-Trained Embeddings

ICASSP 2024accepted

Current state-of-the-art audio analysis systems rely on pre-trained embedding models, often used off-the-shelf as (frozen) feature extractors. Choosing the best one for a set of tasks is the subject of many recent publications. However, one aspect often overlooked in these works is the influence of…

Cited by 0SourceScholar