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

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

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METHOD TYPE
Dropout
Regularization