55 citations · 107 across the 3 of their papers we have counts for
3 papers
cs.CL2017★ 21 cited
Advances in Joint CTC-Attention based End-to-End Speech Recognition with a Deep CNN Encoder and RNN-LM
Takaaki Hori, Shinji Watanabe, Yu Zhang +1
We present a state-of-the-art end-to-end Automatic Speech Recognition (ASR) model. We learn to listen and write characters with a joint Connectionist Temporal Classification (CTC)…
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…