暂无分享,去创建一个
[1] Kuldip K. Paliwal,et al. Bidirectional recurrent neural networks , 1997, IEEE Trans. Signal Process..
[2] Themos Stafylakis,et al. I-vector-based speaker adaptation of deep neural networks for French broadcast audio transcription , 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[3] Daniel Povey,et al. The Kaldi Speech Recognition Toolkit , 2011 .
[4] Janet M. Baker,et al. The Design for the Wall Street Journal-based CSR Corpus , 1992, HLT.
[5] Geoffrey E. Hinton,et al. Layer Normalization , 2016, ArXiv.
[6] Yann LeCun,et al. Recurrent Orthogonal Networks and Long-Memory Tasks , 2016, ICML.
[7] Sergey Ioffe,et al. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift , 2015, ICML.
[8] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[9] Florian Metze,et al. Speaker Adaptive Training of Deep Neural Network Acoustic Models Using I-Vectors , 2015, IEEE/ACM Transactions on Audio, Speech, and Language Processing.
[10] Navdeep Jaitly,et al. Hybrid speech recognition with Deep Bidirectional LSTM , 2013, 2013 IEEE Workshop on Automatic Speech Recognition and Understanding.
[11] Colin Raffel,et al. Lasagne: First release. , 2015 .
[12] Hank Liao,et al. Speaker adaptation of context dependent deep neural networks , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.
[13] Patrick Kenny,et al. Front-End Factor Analysis for Speaker Verification , 2011, IEEE Transactions on Audio, Speech, and Language Processing.
[14] Andrew W. Senior,et al. Long short-term memory recurrent neural network architectures for large scale acoustic modeling , 2014, INTERSPEECH.
[15] Yann LeCun,et al. Orthogonal RNNs and Long-Memory Tasks , 2016, ArXiv.
[16] George Saon,et al. Speaker adaptation of neural network acoustic models using i-vectors , 2013, 2013 IEEE Workshop on Automatic Speech Recognition and Understanding.
[17] Paul Deléglise,et al. Enhancing the TED-LIUM Corpus with Selected Data for Language Modeling and More TED Talks , 2014, LREC.
[18] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[19] Andrea Vedaldi,et al. Instance Normalization: The Missing Ingredient for Fast Stylization , 2016, ArXiv.
[20] Jonathon Shlens,et al. A Learned Representation For Artistic Style , 2016, ICLR.
[21] Li Fei-Fei,et al. Perceptual Losses for Real-Time Style Transfer and Super-Resolution , 2016, ECCV.
[22] Quoc V. Le,et al. HyperNetworks , 2016, ICLR.
[23] Steve Renals,et al. Learning Hidden Unit Contributions for Unsupervised Acoustic Model Adaptation , 2016, IEEE ACM Trans. Audio Speech Lang. Process..
[24] Souvik Kundu,et al. Speaker-aware training of LSTM-RNNS for acoustic modelling , 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[25] Jürgen Schmidhuber,et al. Bidirectional LSTM Networks for Improved Phoneme Classification and Recognition , 2005, ICANN.
[26] Steve Renals,et al. Learning hidden unit contributions for unsupervised speaker adaptation of neural network acoustic models , 2014, 2014 IEEE Spoken Language Technology Workshop (SLT).
[27] Tara N. Sainath,et al. FUNDAMENTAL TECHNOLOGIES IN MODERN SPEECH RECOGNITION Digital Object Identifier 10.1109/MSP.2012.2205597 , 2012 .
[28] Andrea Vedaldi,et al. Texture Networks: Feed-forward Synthesis of Textures and Stylized Images , 2016, ICML.
[29] John Salvatier,et al. Theano: A Python framework for fast computation of mathematical expressions , 2016, ArXiv.