3.6k citations · 8k across the 37 of their papers we have counts for
Showing 2015Show all
3 papers · 1 filter
cs.CL2015★ 305 cited
Listen, Attend and Spell
William Chan, Navdeep Jaitly, Quoc V. Le +1
We present Listen, Attend and Spell (LAS), a neural network that learns to transcribe speech utterances to characters. Unlike traditional DNN-HMM models, this model learns all the…
cs.LG2015★ 55 cited
Transferring Knowledge from a RNN to a DNN
William Chan, Nan Rosemary Ke, Ian Lane
Deep Neural Network (DNN) acoustic models have yielded many state-of-the-art results in Automatic Speech Recognition (ASR) tasks. More recently, Recurrent Neural Network (RNN) mode…
cs.LG2015★ 31 cited
Deep Recurrent Neural Networks for Acoustic Modelling
William Chan, Ian Lane
We present a novel deep Recurrent Neural Network (RNN) model for acoustic modelling in Automatic Speech Recognition (ASR). We term our contribution as a TC-DNN-BLSTM-DNN model, the…