2016
Discriminatively trained joint speaker and environment representations for adaptation of deep neural network acoustic models
ICASSP 2016accepted
A recent trend in normalization of factors extraneous to a speech recognition task has been to explicitly introduce features related to the unwanted variability in the training of Deep Neural Networks (DNN). Typically, this is done by either perturbing the training set with models of these extraneou…