6 citations · 8 across the 2 of their papers we have counts for
3 papers
cs.CL2017★ 6 cited
Embedding-Based Speaker Adaptive Training of Deep Neural Networks
Xiaodong Cui, Vaibhava Goel, George Saon
An embedding-based speaker adaptive training (SAT) approach is proposed and investigated in this paper for deep neural network acoustic modeling. In this approach, speaker embeddin…
cs.CL2016
Advances in Very Deep Convolutional Neural Networks for LVCSR
Tom Sercu, Vaibhava Goel
Very deep CNNs with small 3x3 kernels have recently been shown to achieve very strong performance as acoustic models in hybrid NN-HMM speech recognition systems. In this paper we i…
cs.LG2015★ 2 cited
Random Maxout Features
Youssef Mroueh, Steven Rennie, Vaibhava Goel
In this paper, we propose and study random maxout features, which are constructed by first projecting the input data onto sets of randomly generated vectors with Gaussian elements,…