Token-wise Training for Attention Based End-to-end Speech Recognition
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Jia Cui | Chao Weng | Peidong Wang | Dong Yu | Dong Yu | Chao Weng | Jia Cui | Peidong Wang
[1] Jun Wang,et al. Improving Attention Based Sequence-to-Sequence Models for End-to-End English Conversational Speech Recognition , 2018, INTERSPEECH.
[2] Alexander M. Rush,et al. OpenNMT: Open-Source Toolkit for Neural Machine Translation , 2017, ACL.
[3] Samy Bengio,et al. Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks , 2015, NIPS.
[4] Yoshua Bengio,et al. Task Loss Estimation for Sequence Prediction , 2015, ArXiv.
[5] Luca Antiga,et al. Automatic differentiation in PyTorch , 2017 .
[6] Liang Lu,et al. On training the recurrent neural network encoder-decoder for large vocabulary end-to-end speech recognition , 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[7] Tara N. Sainath,et al. Minimum Word Error Rate Training for Attention-Based Sequence-to-Sequence Models , 2017, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[8] Hermann Ney,et al. Improved training of end-to-end attention models for speech recognition , 2018, INTERSPEECH.
[9] Yoshua Bengio,et al. Attention-Based Models for Speech Recognition , 2015, NIPS.
[10] Pieter Abbeel,et al. Gradient Estimation Using Stochastic Computation Graphs , 2015, NIPS.
[11] Tomohiro Nakatani,et al. SEQUENCE TRAINING OF ENCODER-DECODER MODEL USING POLICY GRADIENT FOR END- TO-END SPEECH RECOGNITION , 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[12] Jun Wang,et al. Improving Attention-Based End-to-End ASR Systems with Sequence-Based Loss Functions , 2018, 2018 IEEE Spoken Language Technology Workshop (SLT).
[13] John R. Hershey,et al. Joint CTC/attention decoding for end-to-end speech recognition , 2017, ACL.
[14] 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).
[15] Brian Roark,et al. Incremental Parsing with the Perceptron Algorithm , 2004, ACL.
[16] Lei Xie,et al. Attention-Based End-to-End Speech Recognition in Mandarin , 2017, ArXiv.
[17] Ben Taskar,et al. An End-to-End Discriminative Approach to Machine Translation , 2006, ACL.
[18] Pierre Lison,et al. An Integrated Approach to Robust Processing of Situated Spoken Dialogue , 2009 .
[19] Yajie Miao,et al. EESEN: End-to-end speech recognition using deep RNN models and WFST-based decoding , 2015, 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU).
[20] Lukás Burget,et al. Sequence-discriminative training of deep neural networks , 2013, INTERSPEECH.
[21] Yifan Gong,et al. Advancing Acoustic-to-Word CTC Model , 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[22] Rico Sennrich,et al. Neural Machine Translation of Rare Words with Subword Units , 2015, ACL.
[23] George Kurian,et al. Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation , 2016, ArXiv.