Transfer Learning of Language-independent End-to-end ASR with Language Model Fusion
暂无分享,去创建一个
Tatsuya Kawahara | Shinji Watanabe | Murali Karthick Baskar | Hirofumi Inaguma | Jaejin Cho | Shinji Watanabe | Tatsuya Kawahara | H. Inaguma | Jaejin Cho | M. Baskar
[1] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[2] Martin Karafiát,et al. The language-independent bottleneck features , 2012, 2012 IEEE Spoken Language Technology Workshop (SLT).
[3] 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).
[4] Suyoun Kim,et al. Towards Language-Universal End-to-End Speech Recognition , 2017, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[5] Shinji Watanabe,et al. Joint CTC-attention based end-to-end speech recognition using multi-task learning , 2016, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[6] Shinji Watanabe,et al. ESPnet: End-to-End Speech Processing Toolkit , 2018, INTERSPEECH.
[7] Lukás Burget,et al. Analysis of Multilingual Blstm Acoustic Model on Low and High Resource Languages , 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[8] Florian Metze,et al. Sequence-Based Multi-Lingual Low Resource Speech Recognition , 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[9] Yoshua Bengio,et al. Neural Machine Translation by Jointly Learning to Align and Translate , 2014, ICLR.
[10] Hervé Bourlard,et al. Multilingual Training and Cross-lingual Adaptation on CTC-based Acoustic Model , 2017, ArXiv.
[11] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[12] Luca Antiga,et al. Automatic differentiation in PyTorch , 2017 .
[13] Yoshua Bengio,et al. On Using Monolingual Corpora in Neural Machine Translation , 2015, ArXiv.
[14] Jürgen Schmidhuber,et al. Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks , 2006, ICML.
[15] Samy Bengio,et al. Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks , 2015, NIPS.
[16] Mark J. F. Gales,et al. Speech recognition and keyword spotting for low-resource languages: Babel project research at CUED , 2014, SLTU.
[17] Shinji Watanabe,et al. Multilingual Sequence-to-Sequence Speech Recognition: Architecture, Transfer Learning, and Language Modeling , 2018, 2018 IEEE Spoken Language Technology Workshop (SLT).
[18] Matthew D. Zeiler. ADADELTA: An Adaptive Learning Rate Method , 2012, ArXiv.
[19] Adam Coates,et al. Cold Fusion: Training Seq2Seq Models Together with Language Models , 2017, INTERSPEECH.
[20] John R. Hershey,et al. Hybrid CTC/Attention Architecture for End-to-End Speech Recognition , 2017, IEEE Journal of Selected Topics in Signal Processing.
[21] John R. Hershey,et al. Language independent end-to-end architecture for joint language identification and speech recognition , 2017, 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU).
[22] Tara N. Sainath,et al. An Analysis of Incorporating an External Language Model into a Sequence-to-Sequence Model , 2017, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[23] Tara N. Sainath,et al. State-of-the-Art Speech Recognition with Sequence-to-Sequence Models , 2017, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[24] Hermann Ney,et al. Improved training of end-to-end attention models for speech recognition , 2018, INTERSPEECH.
[25] Ngoc Thang Vu,et al. Multilingual deep neural network based acoustic modeling for rapid language adaptation , 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[26] Tara N. Sainath,et al. Multilingual Speech Recognition with a Single End-to-End Model , 2017, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[27] Martin Karafiát,et al. Adapting multilingual neural network hierarchy to a new language , 2014, SLTU.
[28] Tara N. Sainath,et al. A Comparison of Techniques for Language Model Integration in Encoder-Decoder Speech Recognition , 2018, 2018 IEEE Spoken Language Technology Workshop (SLT).
[29] K. Maekawa. CORPUS OF SPONTANEOUS JAPANESE : ITS DESIGN AND EVALUATION , 2003 .
[30] Tomoki Toda,et al. Back-Translation-Style Data Augmentation for end-to-end ASR , 2018, 2018 IEEE Spoken Language Technology Workshop (SLT).
[31] Tatsuya Kawahara,et al. Leveraging Sequence-to-Sequence Speech Synthesis for Enhancing Acoustic-to-Word Speech Recognition , 2018, 2018 IEEE Spoken Language Technology Workshop (SLT).
[32] Yoshua Bengio,et al. Attention-Based Models for Speech Recognition , 2015, NIPS.
[33] Sanjeev Khudanpur,et al. Librispeech: An ASR corpus based on public domain audio books , 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[34] Daniel Povey,et al. The Kaldi Speech Recognition Toolkit , 2011 .
[35] Sebastian Stüker,et al. Multilingual Adaptation of RNN Based ASR Systems , 2017, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[36] Quoc V. Le,et al. Unsupervised Pretraining for Sequence to Sequence Learning , 2016, EMNLP.
[37] Felix Hieber,et al. Using Target-side Monolingual Data for Neural Machine Translation through Multi-task Learning , 2017, EMNLP.
[38] Hervé Bourlard,et al. Cross-lingual adaptation of a CTC-based multilingual acoustic model , 2018, Speech Commun..