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We present a method to perform first-pass large vocabulary continuous speech recognition using only a neural network and language model.
Long short-term memory
Hochreiter, S. and Schmidhuber, J · 1997
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Connectionist temporal classification: Labelling unsegmented sequence data with recurrent neural networks
Graves, A., Fernández, S., Gomez, F., and Schmidhuber, J · 2006
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Deep Sparse Rectifier Networks
Glorot, X., Bordes, A., and Bengio, Y · 2011
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The kaldi speech recognition toolkit
Povey, D., Ghoshal, A., Boulianne, G., Burget, L., Glembek, O., Veselý, K., Goel, N., Hannemann, M., Motlicek, P., Qian, Y., Schwarz, P., Silovsky, J., and Stemmer, G · 2011
Earlier work this paper cites.
Deep Neural Networks for Acoustic Modeling in Speech Recognition
Hinton, G.E., Deng, L., Yu, D., Dahl, G.E., Mohamed, A., Jaitly, N., Senior, A., Vanhoucke, V., Nguyen, P., Sainath, T., and Kingsbury, B · 2012
Cited alongside, same era.
Improving Deep Neural Networks for LVCSR using Rectified Linear Units and Dropout
Dahl, G.E., Sainath, T.N., and Hinton, G.E · 2013
Cited alongside, same era.
Rectifier Nonlinearities Improve Neural Network Acoustic Models
Maas, A., Hannun, A., and Ng, A · 2013
Cited alongside, same era.
On the Importance of Momentum and Initialization in Deep Learning
Sutskever, I., Martens, J., Dahl, G., and Hinton, G · 2013
Later among the works it cites.
On Rectified Linear Units for Speech Processing
Zeiler, M.D., Ranzato, M., Monga, R., Mao, M., Yang, K., Le, Q.V., Nguyen, P., Senior, A., Vanhoucke, V., Dean, J., and Hinton, G.E · 2013
Later among the works it cites.
Towards End-to-End Speech Recognition with Recurrent Neural Networks
Graves, A. and Jaitly, N · 2014
Closest in time.
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