4 papers
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…
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…
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…
Exploring WavLM Back-ends for Speech Spoofing and Deepfake Detection
Theophile Stourbe, Victor Miara, Theo Lepage +1
This paper describes our submitted systems to the ASVspoof 5 Challenge Track 1: Speech Deepfake Detection - Open Condition, which consists of a stand-alone speech deepfake (bonafid…