1 citations · 1 across the 4 of their papers we have counts for
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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…
InaGVAD : a Challenging French TV and Radio Corpus Annotated for Speech Activity Detection and Speaker Gender Segmentation
David Doukhan, Christine Maertens, William Le Personnic +2
InaGVAD is an audio corpus collected from 10 French radio and 18 TV channels categorized into 4 groups: generalist radio, music radio, news TV, and generalist TV. It contains 277 1…
Towards Supervised Performance on Speaker Verification with Self-Supervised Learning by Leveraging Large-Scale ASR Models
Victor Miara, Theo Lepage, Reda Dehak
Recent advancements in Self-Supervised Learning (SSL) have shown promising results in Speaker Verification (SV). However, narrowing the performance gap with supervised systems rema…
Additive Margin in Contrastive Self-Supervised Frameworks to Learn Discriminative Speaker Representations
Theo Lepage, Reda Dehak
Self-Supervised Learning (SSL) frameworks became the standard for learning robust class representations by benefiting from large unlabeled datasets. For Speaker Verification (SV),…