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Min Hyun Han

2 accepted papers

2025

FADEL: Uncertainty-aware Fake Audio Detection with Evidential Deep Learning

ICASSP 2025accepted

Recently, fake audio detection has gained significant attention, as advancements in speech synthesis and voice conversion have increased the vulnerability of automatic speaker verification (ASV) systems to spoofing attacks. A key challenge in this task is generalizing models to detect unseen, out-of…

Cited by 0SourceScholar
2023

Improving Learning Objectives for Speaker Verification from the Perspective of Score Comparison

ICASSP 2023accepted

Deep speaker embedding systems are usually trained with classification-based or end-to-end learning objectives. Popular end-to-end approaches utilize deep metric learning, which can be viewed as a few-shot classification objective. In this paper, we investigate the limit of conventional learning obj…

Cited by 0SourceScholar