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Improved training of end-to-end attention models for speech recognition

Improved training of end-to-end attention models for speech recognition

8 May 2018
Albert Zeyer
Kazuki Irie
Ralf Schluter
Hermann Ney
    VLM
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Papers citing "Improved training of end-to-end attention models for speech recognition"

6 / 56 papers shown
Title
On the End-to-End Solution to Mandarin-English Code-switching Speech
  Recognition
On the End-to-End Solution to Mandarin-English Code-switching Speech Recognition
Zhiping Zeng
Yerbolat Khassanov
Van Tung Pham
Haihua Xu
Chng Eng Siong
Haizhou Li
16
92
0
01 Nov 2018
Cascaded CNN-resBiLSTM-CTC: An End-to-End Acoustic Model For Speech
  Recognition
Cascaded CNN-resBiLSTM-CTC: An End-to-End Acoustic Model For Speech Recognition
Xinpei Zhou
Jiwei Li
Xi Zhou
27
3
0
29 Oct 2018
Hierarchical Multi Task Learning With CTC
Hierarchical Multi Task Learning With CTC
Ramon Sanabria
Florian Metze
24
50
0
18 Jul 2018
Hierarchical Multitask Learning for CTC-based Speech Recognition
Hierarchical Multitask Learning for CTC-based Speech Recognition
Kalpesh Krishna
Shubham Toshniwal
Karen Livescu
21
44
0
17 Jul 2018
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
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
718
6,748
0
26 Sep 2016
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
218
7,929
0
17 Aug 2015
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