暂无分享,去创建一个
Lei Xie | Di Wu | Xin Lei | Fan Yu | Chao Yang | Zhuoyuan Yao | Xiong Wang | Binbin Zhang | Liyong Guo | X. Lei | Lei Xie | Di Wu | Xiong Wang | Binbin Zhang | Zhuoyuan Yao | F. Yu | Chao Yang | Liyong Guo | Yaguang Hu | Yaguang Hu | Di Wu
[1] Yifan Gong,et al. Exploring Pre-Training with Alignments for RNN Transducer Based End-to-End Speech Recognition , 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[2] Tara N. Sainath,et al. Universal ASR: Unify and Improve Streaming ASR with Full-context Modeling , 2020, ArXiv.
[3] Yoshua Bengio,et al. Attention-Based Models for Speech Recognition , 2015, NIPS.
[4] Tara N. Sainath,et al. A Streaming On-Device End-To-End Model Surpassing Server-Side Conventional Model Quality and Latency , 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[5] Yoshua Bengio,et al. End-to-end Continuous Speech Recognition using Attention-based Recurrent NN: First Results , 2014, ArXiv.
[6] Tara N. Sainath,et al. A Comparison of Sequence-to-Sequence Models for Speech Recognition , 2017, INTERSPEECH.
[7] Chong Wang,et al. Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin , 2015, ICML.
[8] Tatsuya Kawahara,et al. Enhancing Monotonic Multihead Attention for Streaming ASR , 2020, INTERSPEECH.
[9] Alex Graves,et al. Sequence Transduction with Recurrent Neural Networks , 2012, ArXiv.
[10] Hao Zheng,et al. AISHELL-1: An open-source Mandarin speech corpus and a speech recognition baseline , 2017, 2017 20th Conference of the Oriental Chapter of the International Coordinating Committee on Speech Databases and Speech I/O Systems and Assessment (O-COCOSDA).
[11] Quoc V. Le,et al. Listen, Attend and Spell , 2015, ArXiv.
[12] Colin Raffel,et al. Monotonic Chunkwise Attention , 2017, ICLR.
[13] Qian Zhang,et al. Transformer Transducer: One Model Unifying Streaming and Non-streaming Speech Recognition , 2020, ArXiv.
[14] Rohit Prabhavalkar,et al. Exploring architectures, data and units for streaming end-to-end speech recognition with RNN-transducer , 2017, 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU).
[15] Yu Zhang,et al. Conformer: Convolution-augmented Transformer for Speech Recognition , 2020, INTERSPEECH.
[16] Quoc V. Le,et al. SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition , 2019, INTERSPEECH.
[17] Lei Xie,et al. Streaming Chunk-Aware Multihead Attention for Online End-to-End Speech Recognition , 2020, INTERSPEECH.
[18] Colin Raffel,et al. Online and Linear-Time Attention by Enforcing Monotonic Alignments , 2017, ICML.
[19] Yifan Gong,et al. Improving RNN Transducer Modeling for End-to-End Speech Recognition , 2019, 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU).
[20] Geoffrey E. Hinton,et al. Speech recognition with deep recurrent neural networks , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.
[21] 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).
[22] Tara N. Sainath,et al. Two-Pass End-to-End Speech Recognition , 2019, INTERSPEECH.
[23] Jiangyan Yi,et al. Synchronous Transformers for end-to-end Speech Recognition , 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[24] Lukasz Kaiser,et al. Attention is All you Need , 2017, NIPS.
[25] Jürgen Schmidhuber,et al. Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks , 2006, ICML.