4 papers
Data Selection Effects on Self-Supervised Learning of Audio Representations for French Audiovisual Broadcasts
Valentin Pelloin, Lina Bekkali, Reda Dehak +1
Audio and speech self-supervised encoder models are now widely used for a lot of different tasks. Many of these models are often trained on clean segmented speech content such as L…
Self-Supervised Learning for Speaker Recognition: A study and review
Theo Lepage, Reda Dehak
Deep learning models trained in a supervised setting have revolutionized audio and speech processing. However, their performance inherently depends on the quantity of human-annotat…
Self-Supervised Frameworks for Speaker Verification via Bootstrapped Positive Sampling
Theo Lepage, Reda Dehak
Recent developments in Self-Supervised Learning (SSL) have demonstrated significant potential for Speaker Verification (SV), but closing the performance gap with supervised systems…
SSPS: Self-Supervised Positive Sampling for Robust Self-Supervised Speaker Verification
Theo Lepage, Reda Dehak
Self-Supervised Learning (SSL) has led to considerable progress in Speaker Verification (SV). The standard framework uses same-utterance positive sampling and data-augmentation to…