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Attention-based sequence-to-sequence model for speech recognition:
  development of state-of-the-art system on LibriSpeech and its application to
  non-native English

Attention-based sequence-to-sequence model for speech recognition: development of state-of-the-art system on LibriSpeech and its application to non-native English

31 October 2018
Yan Yin
R. Prieto
Bin Wang
Jianwei Zhou
Yiwei Gu
Yang Liu
Hui-Ching Lin
ArXivPDFHTML

Papers citing "Attention-based sequence-to-sequence model for speech recognition: development of state-of-the-art system on LibriSpeech and its application to non-native English"

1 / 1 papers shown
Title
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Zhehuai Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
718
6,750
0
26 Sep 2016
1