RSKNet-MTSP: Effective and Portable Deep Architecture for Speaker Verification

Abstract

The convolutional neural network (CNN) based approaches have shown great success for speaker verification (SV) tasks, where modeling long temporal context and reducing information loss of speaker characteristics are two important challenges significantly affecting the verification performance. Previous works