2017
Discriminative autoencoders for speaker verification
ICASSP 2017accepted
This paper presents a learning and scoring framework based on neural networks for speaker verification. The framework employs an autoencoder as its primary structure while three factors are jointly considered in the objective function for speaker discrimination. The first one, relating to the sample…