Uncertainty Weighting And Propagation In Dnn-Hmm-Based Speech Recognition

Abstract

In this paper an uncertainty weighting scheme for DNNHMM-based speech recognition is proposed to increase discriminability in the decoding process. To this end, the DNN pseudo-log-likelihoods are weighted according to the uncertainty variance assigned to