121 citations · 247 across the 19 of their papers we have counts for
3 papers · 1 filter
Reducing Exposure Bias in Training Recurrent Neural Network Transducers
Xiaodong Cui, Brian Kingsbury, George Saon +2
When recurrent neural network transducers (RNNTs) are trained using the typical maximum likelihood criterion, the prediction network is trained only on ground truth label sequences…
ScaleCom: Scalable Sparsified Gradient Compression for Communication-Efficient Distributed Training
Chia-Yu Chen, Jiamin Ni, Songtao Lu +8
Large-scale distributed training of Deep Neural Networks (DNNs) on state-of-the-art platforms is expected to be severely communication constrained. To overcome this limitation, num…
Federated Acoustic Modeling For Automatic Speech Recognition
Xiaodong Cui, Songtao Lu, Brian Kingsbury
Data privacy and protection is a crucial issue for any automatic speech recognition (ASR) service provider when dealing with clients. In this paper, we investigate federated acoust…