1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.SD2022
Label-free Knowledge Distillation with Contrastive Loss for Light-weight Speaker Recognition
Zhiyuan Peng, Xuanji He, Ke Ding +2
Very deep models for speaker recognition (SR) have demonstrated remarkable performance improvement in recent research. However, it is impractical to deploy these models for on-devi…
cs.SD2022
Covariance Regularization for Probabilistic Linear Discriminant Analysis
Zhiyuan Peng, Mingjie Shao, Xuanji He +4
Probabilistic linear discriminant analysis (PLDA) is commonly used in speaker verification systems to score the similarity of speaker embeddings. Recent studies improved the perfor…
eess.AS2022★ 1 cited
Convolution-Based Channel-Frequency Attention for Text-Independent Speaker Verification
Jingyu Li, Yusheng Tian, Tan Lee
Deep convolutional neural networks (CNNs) have been applied to extracting speaker embeddings with significant success in speaker verification. Incorporating the attention mechanism…