Hybrid Residual Block Time-Delay Neural Network Embeddings for Speaker Recognition

Current speaker recognition systems are based ei-ther on time-delay neural network (TDNN) x-vectors or ResNet embedding speaker representations. Both architectures have their advantages and this paper aims to benefit from their prominent and complementary features. In contrast to what has been already proposed in the literature, we investigate the impact of using only one residual neural network b...