2016
Joint acoustic factor learning for robust deep neural network based automatic speech recognition
ICASSP 2016accepted
Deep neural networks (DNNs) for acoustic modeling have been shown to provide impressive results on many state-of-the-art automatic speech recognition (ASR) applications. However, DNN performance degrades due to mismatches in training and testing conditions and thus adaptation is necessary. In this p…