most citedCharacterizing Types of Convolution in Deep Convolutional Recurrent Neural Networks for Robust Speech Emotion Recognition

25 citations · 25 across the 2 of their papers we have counts for

collaborators

2 papers

eess.AS2019

Towards Adapting NMF Dictionaries Using Total Variability Modeling for Noise-Robust Acoustic Features

Kunal Dhawan, Colin Vaz, Ruchir Travadi +1

We propose an algorithm to extract noise-robust acoustic features from noisy speech. We use Total Variability Modeling in combination with Non-negative Matrix Factorization (NMF) t…

cs.LG2017★ 25 cited

Characterizing Types of Convolution in Deep Convolutional Recurrent Neural Networks for Robust Speech Emotion Recognition

Che-Wei Huang, Shrikanth. S. Narayanan

Deep convolutional neural networks are being actively investigated in a wide range of speech and audio processing applications including speech recognition, audio event detection a…