Dilip Kumar Margam

Global SNR Estimation of Speech Signals using Entropy and Uncertainty\n Estimates from Dropout Networks

2018 · arXiv (Cornell University)

This paper demonstrates two novel methods to estimate the global SNR of\nspeech signals. In both methods, Deep Neural Network-Hidden Markov Model\n(DNN-HMM) acoustic model used in speech recognition systems is leveraged for\nthe additional task of SNR …