2016
Divergence estimation based on deep neural networks and its use for language identification
ICASSP 2016accepted
In this paper, we propose a method to estimate statistical divergence between probability distributions by a DNN-based discriminative approach and its use for language identification tasks. Since statistical divergence is generally defined as a functional of two probability density functions, these…