2020
Knowledge Distillation and Random Erasing Data Augmentation for Text-Dependent Speaker Verification
ICASSP 2020accepted
This paper explores the Knowledge Distillation (KD) approach and a data augmentation technique to improve the generalization ability and robustness of text-dependent speaker verification (SV) systems. The KD method consists of two neural networks, known as Teacher and Student, where the student is t…