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Massa Baali

2 accepted papers

2025

CAARMA: Class Augmentation with Adversarial Mixup Regularization

EMNLP 2025

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 performing inference must hence naturally generate embeddings that cluster same-class instances compactly, while maintaini

2025

SVeritas: Benchmark for Robust Speaker Verification under Diverse Conditions

EMNLP 2025

Speaker verification (SV) models are increasingly integrated into security, personalization, and access control systems, yet their robustness to many real-world challenges remains inadequately benchmarked. Real-world systems can face diverse conditions, some naturally occurring, and others that may