47 citations · 116 across the 7 of their papers we have counts for
4 papers · 1 filter
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…
Dense Prediction on Sequences with Time-Dilated Convolutions for Speech Recognition
Tom Sercu, Vaibhava Goel
In computer vision pixelwise dense prediction is the task of predicting a label for each pixel in the image. Convolutional neural networks achieve good performance on this task, wh…
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…
Deep Multimodal Learning for Audio-Visual Speech Recognition
Youssef Mroueh, Etienne Marcheret, Vaibhava Goel
In this paper, we present methods in deep multimodal learning for fusing speech and visual modalities for Audio-Visual Automatic Speech Recognition (AV-ASR). First, we study an app…