6 citations · 8 across the 3 of their papers we have counts for
3 papers
eess.AS2022★ 6 cited
Self-Supervised Speaker Verification with Simple Siamese Network and Self-Supervised Regularization
Mufan Sang, Haoqi Li, Fang Liu +2
Training speaker-discriminative and robust speaker verification systems without speaker labels is still challenging and worthwhile to explore. In this study, we propose an effectiv…
eess.AS2020★ 1 cited
DEAAN: Disentangled Embedding and Adversarial Adaptation Network for Robust Speaker Representation Learning
Mufan Sang, Wei Xia, John H. L. Hansen
Despite speaker verification has achieved significant performance improvement with the development of deep neural networks, domain mismatch is still a challenging problem in this f…
eess.AS2020★ 1 cited
Open-set Short Utterance Forensic Speaker Verification using Teacher-Student Network with Explicit Inductive Bias
Mufan Sang, Wei Xia, John H. L. Hansen
In forensic applications, it is very common that only small naturalistic datasets consisting of short utterances in complex or unknown acoustic environments are available. In this…