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[1] Jürgen Schmidhuber,et al. Learning to Forget: Continual Prediction with LSTM , 2000, Neural Computation.
[2] Björn W. Schuller,et al. Bidirectional LSTM Networks for Context-Sensitive Keyword Detection in a Cognitive Virtual Agent Framework , 2010, Cognitive Computation.
[3] Navdeep Jaitly,et al. Towards End-To-End Speech Recognition with Recurrent Neural Networks , 2014, ICML.
[4] Wonyong Sung,et al. A statistical model-based voice activity detection , 1999, IEEE Signal Processing Letters.
[5] Richard Rose,et al. A hidden Markov model based keyword recognition system , 1990, International Conference on Acoustics, Speech, and Signal Processing.
[6] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[7] Georg Heigold,et al. Small-footprint keyword spotting using deep neural networks , 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[8] John Scott Bridle,et al. Probabilistic Interpretation of Feedforward Classification Network Outputs, with Relationships to Statistical Pattern Recognition , 1989, NATO Neurocomputing.
[9] Jürgen Schmidhuber,et al. An Application of Recurrent Neural Networks to Discriminative Keyword Spotting , 2007, ICANN.
[10] Janet M. Baker,et al. The Design for the Wall Street Journal-based CSR Corpus , 1992, HLT.
[11] Wonyong Sung,et al. Online Sequence Training of Recurrent Neural Networks with Connectionist Temporal Classification , 2015, ArXiv.
[12] D. Fry. Simple Reaction-Times to Speech and Non-Speech Stimuli , 1975, Cortex.
[13] Jürgen Schmidhuber,et al. Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks , 2006, ICML.
[14] Chong Wang,et al. Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin , 2015, ICML.
[15] Wonyong Sung,et al. Single stream parallelization of generalized LSTM-like RNNs on a GPU , 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[16] Jing Peng,et al. An Efficient Gradient-Based Algorithm for On-Line Training of Recurrent Network Trajectories , 1990, Neural Computation.
[17] Tara N. Sainath,et al. FUNDAMENTAL TECHNOLOGIES IN MODERN SPEECH RECOGNITION Digital Object Identifier 10.1109/MSP.2012.2205597 , 2012 .
[18] Jürgen Schmidhuber,et al. Learning Precise Timing with LSTM Recurrent Networks , 2003, J. Mach. Learn. Res..