In this paper, we use data augmentation to improve performance of deep neural network (DNN) embeddings for speaker recognition. The DNN, which is trained to discriminate between speakers, maps ...

Neuro-vector-symbolic (NVS) computing aims to combine neural models with vector-symbolic architectures (VSA), also known as hyperdimensional computing (HDC) built upon vector arithmetics in the ...