Layer-Normalized LSTM for Hybrid-Hmm and End-To-End ASR
暂无分享,去创建一个
[1] Jian Sun,et al. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[2] Yoshua Bengio,et al. Understanding the difficulty of training deep feedforward neural networks , 2010, AISTATS.
[3] Hermann Ney,et al. A Comparison of Transformer and LSTM Encoder Decoder Models for ASR , 2019, 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU).
[4] Yuan Yu,et al. TensorFlow: A system for large-scale machine learning , 2016, OSDI.
[5] Ying Zhang,et al. Batch normalized recurrent neural networks , 2015, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[6] Quoc V. Le,et al. SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition , 2019, INTERSPEECH.
[7] Hermann Ney,et al. Language Modeling with Deep Transformers , 2019, INTERSPEECH.
[8] Hermann Ney,et al. RETURNN as a Generic Flexible Neural Toolkit with Application to Translation and Speech Recognition , 2018, ACL.
[9] Fabrice Bellard. Lossless Data Compression with Neural Networks , 2019 .
[10] John J. Godfrey,et al. SWITCHBOARD: telephone speech corpus for research and development , 1992, [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing.
[11] Diederik P. Kingma,et al. GPU Kernels for Block-Sparse Weights , 2017 .
[12] Geoffrey E. Hinton,et al. Layer Normalization , 2016, ArXiv.
[13] Ankur Bapna,et al. The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation , 2018, ACL.
[14] Rico Sennrich,et al. Neural Machine Translation of Rare Words with Subword Units , 2015, ACL.
[15] Quoc V. Le,et al. HyperNetworks , 2016, ICLR.
[16] Yoshua Bengio,et al. Dynamic Layer Normalization for Adaptive Neural Acoustic Modeling in Speech Recognition , 2017, INTERSPEECH.
[17] Hermann Ney,et al. Gammatone Features and Feature Combination for Large Vocabulary Speech Recognition , 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.
[18] Kaiming He,et al. Group Normalization , 2018, ECCV.
[19] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[20] Hermann Ney,et al. RASR - The RWTH Aachen University Open Source Speech Recognition Toolkit , 2011 .
[21] Hermann Ney,et al. A comprehensive study of deep bidirectional LSTM RNNS for acoustic modeling in speech recognition , 2016, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[22] Quoc V. Le,et al. Listen, attend and spell: A neural network for large vocabulary conversational speech recognition , 2015, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[23] Hermann Ney,et al. A comprehensive analysis on attention models , 2019, NeurIPS 2019.
[24] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[25] Jingbo Zhu,et al. Learning Deep Transformer Models for Machine Translation , 2019, ACL.
[26] Jürgen Schmidhuber,et al. Highway Networks , 2015, ArXiv.
[27] Aaron C. Courville,et al. Recurrent Batch Normalization , 2016, ICLR.
[28] Hermann Ney,et al. Improved training of end-to-end attention models for speech recognition , 2018, INTERSPEECH.
[29] Sergey Ioffe,et al. Batch Renormalization: Towards Reducing Minibatch Dependence in Batch-Normalized Models , 2017, NIPS.
[30] Geoffrey E. Hinton,et al. On the importance of initialization and momentum in deep learning , 2013, ICML.
[31] Sergey Ioffe,et al. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift , 2015, ICML.
[32] Lukasz Kaiser,et al. Attention is All you Need , 2017, NIPS.
[33] Tim Salimans,et al. Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks , 2016, NIPS.
[34] Tengyu Ma,et al. Fixup Initialization: Residual Learning Without Normalization , 2019, ICLR.
[35] Pascal Vincent,et al. Representation Learning: A Review and New Perspectives , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.