LSTM time and frequency recurrence for automatic speech recognition
暂无分享,去创建一个
Geoffrey Zweig | Yifan Gong | Jinyu Li | Abdel-rahman Mohamed | Abdel-rahman Mohamed | Jinyu Li | G. Zweig | Y. Gong
[1] Hervé Bourlard,et al. Connectionist Speech Recognition: A Hybrid Approach , 1993 .
[2] Hervé Bourlard,et al. Connectionist probability estimators in HMM speech recognition , 1994, IEEE Trans. Speech Audio Process..
[3] Xiangang Li,et al. Constructing long short-term memory based deep recurrent neural networks for large vocabulary speech recognition , 2014, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[4] Tara N. Sainath,et al. Deep convolutional neural networks for LVCSR , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.
[5] Geoffrey Zweig,et al. Exploring multidimensional lstms for large vocabulary ASR , 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[6] Tara N. Sainath,et al. Learning filter banks within a deep neural network framework , 2013, 2013 IEEE Workshop on Automatic Speech Recognition and Understanding.
[7] Yoshua Bengio,et al. Learning long-term dependencies with gradient descent is difficult , 1994, IEEE Trans. Neural Networks.
[8] Andrew W. Senior,et al. Long short-term memory recurrent neural network architectures for large scale acoustic modeling , 2014, INTERSPEECH.
[9] Geoffrey Zweig,et al. Recent advances in deep learning for speech research at Microsoft , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.
[10] Geoffrey Zweig,et al. An introduction to computational networks and the computational network toolkit (invited talk) , 2014, INTERSPEECH.
[11] Georg Heigold,et al. Sequence discriminative distributed training of long short-term memory recurrent neural networks , 2014, INTERSPEECH.
[12] Jürgen Schmidhuber,et al. Learning to forget: continual prediction with LSTM , 1999 .
[13] Herbert Jaeger,et al. A tutorial on training recurrent neural networks , covering BPPT , RTRL , EKF and the " echo state network " approach - Semantic Scholar , 2005 .
[14] Gerald Penn,et al. Convolutional Neural Networks for Speech Recognition , 2014, IEEE/ACM Transactions on Audio, Speech, and Language Processing.
[15] Geoffrey E. Hinton,et al. Understanding how Deep Belief Networks perform acoustic modelling , 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[16] Navdeep Jaitly,et al. Hybrid speech recognition with Deep Bidirectional LSTM , 2013, 2013 IEEE Workshop on Automatic Speech Recognition and Understanding.
[17] Yifan Gong,et al. Improving wideband speech recognition using mixed-bandwidth training data in CD-DNN-HMM , 2012, 2012 IEEE Spoken Language Technology Workshop (SLT).
[18] Geoffrey E. Hinton,et al. Acoustic Modeling Using Deep Belief Networks , 2012, IEEE Transactions on Audio, Speech, and Language Processing.
[19] Tara N. Sainath,et al. Convolutional, Long Short-Term Memory, fully connected Deep Neural Networks , 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[20] Dong Yu,et al. Conversational Speech Transcription Using Context-Dependent Deep Neural Networks , 2012, ICML.
[21] Navdeep Jaitly,et al. Application of Pretrained Deep Neural Networks to Large Vocabulary Conversational Speech Recognition , 2012 .
[22] Dong Yu,et al. Large vocabulary continuous speech recognition with context-dependent DBN-HMMS , 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[23] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[24] Tara N. Sainath,et al. Making Deep Belief Networks effective for large vocabulary continuous speech recognition , 2011, 2011 IEEE Workshop on Automatic Speech Recognition & Understanding.
[25] Geoffrey E. Hinton,et al. Speech recognition with deep recurrent neural networks , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.
[26] Jürgen Schmidhuber,et al. Multi-dimensional Recurrent Neural Networks , 2007, ICANN.
[27] Yifan Gong,et al. An analysis of convolutional neural networks for speech recognition , 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[28] T. Munich,et al. Offline Handwriting Recognition with Multidimensional Recurrent Neural Networks , 2008, NIPS.