23 citations · 28 across the 10 of their papers we have counts for
8 papers · 1 filter
Audio Language Model for Deepfake Detection Grounded in Acoustic Chain-of-Thought
Runkun Chen, Yixiong Fang, Pengyu Chang +3
Deepfake speech detection systems are often limited to binary classification tasks and struggle to generate interpretable reasoning or provide context-rich explanations for their d…
What and When to Learn: CURriculum Ranking Loss for Large-Scale Speaker Verification
Massa Baali, Sarthak Bisht, Rita Singh +1
Speaker verification at large scale remains an open challenge as fixed-margin losses treat all samples equally regardless of quality. We hypothesize that mislabeled or degraded sam…
DELULU: Discriminative Embedding Learning Using Latent Units for Speaker-Aware Self-Trained Speech Foundational Model
Massa Baali, Rita Singh, Bhiksha Raj
Self-supervised speech models have achieved remarkable success on content-driven tasks, yet they remain limited in capturing speaker-discriminative features critical for verificati…
SVeritas: Benchmark for Robust Speaker Verification under Diverse Conditions
Massa Baali, Sarthak Bisht, Francisco Teixeira +3
Speaker verification (SV) models are increasingly integrated into security, personalization, and access control systems, yet their robustness to many real-world challenges remains…
CAARMA: Class Augmentation with Adversarial Mixup Regularization
Massa Baali, Xiang Li, Hao Chen +3
Speaker verification is a typical zero-shot learning task, where inference of unseen classes is performed by comparing embeddings of test instances to known examples. The models pe…
Improving Speaker Representations Using Contrastive Losses on Multi-scale Features
Satvik Dixit, Massa Baali, Rita Singh +1
Speaker verification systems have seen significant advancements with the introduction of Multi-scale Feature Aggregation (MFA) architectures, such as MFA-Conformer and ECAPA-TDNN.…