Learning acoustic frame labeling for speech recognition with recurrent neural networks
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Johan Schalkwyk | Alex Graves | Ozan Irsoy | Andrew W. Senior | Hasim Sak | Françoise Beaufays | Kanishka Rao | A. Senior | A. Graves | Kanishka Rao | H. Sak | F. Beaufays | Ozan Irsoy | J. Schalkwyk | Alex Graves | Hasim Sak
[1] Tara N. Sainath,et al. FUNDAMENTAL TECHNOLOGIES IN MODERN SPEECH RECOGNITION Digital Object Identifier 10.1109/MSP.2012.2205597 , 2012 .
[2] Jonathan Le Roux,et al. Discriminative Training for Large-Vocabulary Speech Recognition Using Minimum Classification Error , 2007, IEEE Transactions on Audio, Speech, and Language Processing.
[3] Georg Heigold,et al. Multilingual acoustic models using distributed deep neural networks , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.
[4] Dong Yu,et al. Error back propagation for sequence training of Context-Dependent Deep NetworkS for conversational speech transcription , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.
[5] Navdeep Jaitly,et al. Hybrid speech recognition with Deep Bidirectional LSTM , 2013, 2013 IEEE Workshop on Automatic Speech Recognition and Understanding.
[6] Brian Kingsbury,et al. Lattice-based optimization of sequence classification criteria for neural-network acoustic modeling , 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.
[7] Lawrence R. Rabiner,et al. A tutorial on hidden Markov models and selected applications in speech recognition , 1989, Proc. IEEE.
[8] References , 1971 .
[9] Marc'Aurelio Ranzato,et al. Large Scale Distributed Deep Networks , 2012, NIPS.
[10] Björn W. Schuller,et al. From speech to letters - using a novel neural network architecture for grapheme based ASR , 2009, 2009 IEEE Workshop on Automatic Speech Recognition & Understanding.
[11] Tara N. Sainath,et al. Scalable Minimum Bayes Risk Training of Deep Neural Network Acoustic Models Using Distributed Hessian-free Optimization , 2012, INTERSPEECH.
[12] Marc'Aurelio Ranzato,et al. Building high-level features using large scale unsupervised learning , 2011, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.
[13] Jürgen Schmidhuber,et al. Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks , 2006, ICML.
[14] Yves Normandin,et al. Hidden Markov models, maximum mutual information estimation, and the speech recognition problem , 1992 .
[15] Georg Heigold,et al. A log-linear discriminative modeling framework for speech recognition , 2010 .
[16] Geoffrey E. Hinton,et al. Speech recognition with deep recurrent neural networks , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.
[17] Andrew W. Senior,et al. Long short-term memory recurrent neural network architectures for large scale acoustic modeling , 2014, INTERSPEECH.
[18] Andrew W. Senior,et al. Long Short-Term Memory Based Recurrent Neural Network Architectures for Large Vocabulary Speech Recognition , 2014, ArXiv.
[19] Dong Yu,et al. Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition , 2012, IEEE Transactions on Audio, Speech, and Language Processing.
[20] Georg Heigold,et al. Sequence discriminative distributed training of long short-term memory recurrent neural networks , 2014, INTERSPEECH.
[21] Lukás Burget,et al. Sequence-discriminative training of deep neural networks , 2013, INTERSPEECH.
[22] Dong Yu,et al. Conversational Speech Transcription Using Context-Dependent Deep Neural Networks , 2012, ICML.
[23] Kuldip K. Paliwal,et al. Bidirectional recurrent neural networks , 1997, IEEE Trans. Signal Process..
[24] Hervé Bourlard,et al. Connectionist speech recognition , 1993 .
[25] Navdeep Jaitly,et al. Application of Pretrained Deep Neural Networks to Large Vocabulary Speech Recognition , 2012, INTERSPEECH.