13 citations · 30 across the 11 of their papers we have counts for
5 papers · 1 filter
An Investigation of Distribution Alignment in Multi-Genre Speaker Recognition
Zhenyu Zhou, Junhui Chen, Namin Wang +2
Multi-genre speaker recognition is becoming increasingly popular due to its ability to better represent the complexities of real-world applications. However, a major challenge is t…
Multi-Domain Adaptation by Self-Supervised Learning for Speaker Verification
Wan Lin, Lantian Li, Dong Wang
In real-world applications, speaker recognition models often face various domain-mismatch challenges, leading to a significant drop in performance. Although numerous domain adaptat…
Leveraging the Power of Data Augmentation for Transformer-based Tracking
Jie Zhao, Johan Edstedt, Michael Felsberg +2
Due to long-distance correlation and powerful pretrained models, transformer-based methods have initiated a breakthrough in visual object tracking performance. Previous works focus…
Zero- and Few-Shot Event Detection via Prompt-Based Meta Learning
Zhenrui Yue, Huimin Zeng, Mengfei Lan +2
With emerging online topics as a source for numerous new events, detecting unseen / rare event types presents an elusive challenge for existing event detection methods, where only…
Visualizing data augmentation in deep speaker recognition
Pengqi Li, Lantian Li, Askar Hamdulla +1
Visualization is of great value in understanding the internal mechanisms of neural networks. Previous work found that LayerCAM is a reliable visualization tool for deep speaker mod…