Recurrent neural network training with dark knowledge transfer

Z Tang, D Wang, Z Zhang - 2016 IEEE International …, 2016 - ieeexplore.ieee.org
ABSTRACT Recurrent neural networks (RNNs), particularly long short-term memory (LSTM),
have gained much attention in automatic speech recognition (ASR). Although some
successful stories have been reported, training RNNs remains highly challenging, ...

[PDF][PDF] Recurrent Neural Network Training with Dark Knowledge Transfer

D Wang, C Liu, Z Tang, Z Zhang, M Zhao - cslt.riit.tsinghua.edu.cn
Abstract Recurrent neural networks (RNNs) are powerful in modeling sequential data such
as speech signals and hence are suitable for acoustic modeling in automatic speech
recognition (ASR). Although some successful stories have been reported, training RNNs ...

Recurrent Neural Network Training with Dark Knowledge Transfer

D Wang, C Liu, Z Tang, Z Zhang… - arXiv preprint arXiv: …, 2015 - adsabs.harvard.edu
Abstract Recurrent neural networks (RNNs) are powerful in modeling sequential data such
as speech signals and hence are suitable for acoustic modeling in automatic speech
recognition (ASR). Although some successful stories have been reported, training RNNs ...

Recurrent Neural Network Training with Dark Knowledge Transfer

Z Tang, D Wang, Z Zhang - arXiv preprint arXiv:1505.04630, 2015 - arxiv.org
Abstract: Recurrent neural networks (RNNs), particularly long short-term memory (LSTM),
have gained much attention in automatic speech recognition (ASR). Although some
successful stories have been reported, training RNNs remains highly challenging, ...

[CITATION][C] RECURRENT NEURAL NETWORK TRAINING WITH DARK KNOWLEDGE TRANSFER

Z Tang, D Wang, Z Zhang

[PDF][PDF] Recurrent Neural Network Training with Dark Knowledge Transfer

D Wang, C Liu, Z Tang, Z Zhang… - arXiv preprint arXiv: …, 2015 - pdfs.semanticscholar.org
Abstract—Recurrent neural networks (RNNs) are powerful in modeling sequential data such
as speech signals and hence are suitable for acoustic modeling in automatic speech
recognition (ASR). Although some successful stories have been reported, training RNNs ...

[PDF][PDF] Recurrent Neural Network Training with Dark Knowledge Transfer

D Wang, C Liu, Z Tang, Z Zhang… - arXiv preprint arXiv: …, 2015 - researchgate.net
Abstract—Recurrent neural networks (RNNs) are powerful in modeling sequential data such
as speech signals and hence are suitable for acoustic modeling in automatic speech
recognition (ASR). Although some successful stories have been reported, training RNNs ...

Recurrent Neural Network Training with Dark Knowledge Transfer

Z Tang, D Wang, Z Zhang - arXiv preprint arXiv:1505.04630, 2015 - adsabs.harvard.edu
Abstract Recurrent neural networks (RNNs), particularly long short-term memory (LSTM),
have gained much attention in automatic speech recognition (ASR). Although some
successful stories have been reported, training RNNs remains highly challenging, ...