Guojing Cong

Fast Training of Deep Neural Networks for Speech Recognition

Training large, deep neural network acoustic models for speech recognition on large datasets takes a long time on a single GPU, motivating research on parallel training algorithms. We present an approach for training a bidirectional LSTM acoustic model on the 2000-hour Switchboard corpus. The model…