1 citations · 1 across the 3 of their papers we have counts for
3 papers
eess.AS2024★ 1 cited
Efficient Adapter Tuning of Pre-trained Speech Models for Automatic Speaker Verification
Mufan Sang, John H. L. Hansen
With excellent generalization ability, self-supervised speech models have shown impressive performance on various downstream speech tasks in the pre-training and fine-tuning paradi…
eess.AS2023
Improving Transformer-based Networks With Locality For Automatic Speaker Verification
Mufan Sang, Yong Zhao, Gang Liu +2
Recently, Transformer-based architectures have been explored for speaker embedding extraction. Although the Transformer employs the self-attention mechanism to efficiently model th…
eess.AS2022
Multi-Frequency Information Enhanced Channel Attention Module for Speaker Representation Learning
Mufan Sang, John H. L. Hansen
Recently, attention mechanisms have been applied successfully in neural network-based speaker verification systems. Incorporating the Squeeze-and-Excitation block into convolutiona…