2021
A Comparison of Discrete Latent Variable Models for Speech Representation Learning
ICASSP 2021accepted
Neural latent variable models enable the discovery of interesting structure in speech audio data. This paper presents a comparison of two different approaches which are broadly based on predicting future time-steps or auto-encoding the input signal. Our study compares the representations learned by…