2019
A Denoising Autoencoder for Speaker Recognition. Results on the MCE 2018 Challenge
ICASSP 2019accepted
We propose a Denoising Autoencoder (DAE) for speaker recognition, trained to map each individual ivector to the mean of all ivectors belonging to that particular speaker. The aim of this DAE is to compensate for inter-session variability and increase the discriminative power of the ivectors prior to…