34 citations · 195 across the 59 of their papers we have counts for
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3 papers · 1 filter
cs.CL2017★ 3 cited
Frame Stacking and Retaining for Recurrent Neural Network Acoustic Model
Xu Tian, Jun Zhang, Zejun Ma +2
Frame stacking is broadly applied in end-to-end neural network training like connectionist temporal classification (CTC), and it leads to more accurate models and faster decoding.…
cs.CL2017★ 23 cited
Deep LSTM for Large Vocabulary Continuous Speech Recognition
Xu Tian, Jun Zhang, Zejun Ma +6
Recurrent neural networks (RNNs), especially long short-term memory (LSTM) RNNs, are effective network for sequential task like speech recognition. Deeper LSTM models perform well…
cs.CL2017★ 3 cited
Exponential Moving Average Model in Parallel Speech Recognition Training
Xu Tian, Jun Zhang, Zejun Ma +2
As training data rapid growth, large-scale parallel training with multi-GPUs cluster is widely applied in the neural network model learning currently.We present a new approach that…