TitaNet: Neural Model for speaker representation with 1D Depth-wise separable convolutions and global context

Nithin Rao Koluguri, Taejin Park, Boris Ginsburg

In this paper, we propose TitaNet, a novel neural network architecture for extracting speaker representations. We employ 1D depth-wise separable convolutions with Squeeze-and-Excit…