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cs.SD2026
A Study of Data Selection Strategies for Pre-training Self-Supervised Speech Models
Ryan Whetten, Titouan Parcollet, Marco Dinarelli +1
Self-supervised learning (SSL) has transformed speech processing, yet its reliance on massive pre-training datasets remains a bottleneck. While robustness is often attributed to sc…
cs.SD2025
Towards Early Prediction of Self-Supervised Speech Model Performance
Ryan Whetten, Lucas Maison, Titouan Parcollet +2
In Self-Supervised Learning (SSL), pre-training and evaluation are resource intensive. In the speech domain, current indicators of the quality of SSL models during pre-training, su…