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Early Stage LM Integration Using Local and Global Log-Linear Combination

Early Stage LM Integration Using Local and Global Log-Linear Combination

20 May 2020
Wilfried Michel
Ralf Schluter
Hermann Ney
ArXivPDFHTML

Papers citing "Early Stage LM Integration Using Local and Global Log-Linear Combination"

13 / 13 papers shown
Title
The RWTH ASR System for TED-LIUM Release 2: Improving Hybrid HMM with
  SpecAugment
The RWTH ASR System for TED-LIUM Release 2: Improving Hybrid HMM with SpecAugment
Wei Zhou
Wilfried Michel
Kazuki Irie
M. Kitza
Ralf Schluter
Hermann Ney
34
42
0
02 Apr 2020
Generating Synthetic Audio Data for Attention-Based Speech Recognition
  Systems
Generating Synthetic Audio Data for Attention-Based Speech Recognition Systems
Nick Rossenbach
Albert Zeyer
Ralf Schluter
Hermann Ney
50
84
0
19 Dec 2019
Minimum Bayes Risk Training of RNN-Transducer for End-to-End Speech
  Recognition
Minimum Bayes Risk Training of RNN-Transducer for End-to-End Speech Recognition
Chao Weng
Chengzhu Yu
Jia Cui
Chunlei Zhang
Dong Yu
119
39
0
28 Nov 2019
Language Modeling with Deep Transformers
Language Modeling with Deep Transformers
Kazuki Irie
Albert Zeyer
Ralf Schluter
Hermann Ney
KELM
85
176
0
10 May 2019
SpecAugment: A Simple Data Augmentation Method for Automatic Speech
  Recognition
SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition
Daniel S. Park
William Chan
Yu Zhang
Chung-Cheng Chiu
Barret Zoph
E. D. Cubuk
Quoc V. Le
VLM
177
3,461
0
18 Apr 2019
Sequence-to-Sequence Speech Recognition with Time-Depth Separable
  Convolutions
Sequence-to-Sequence Speech Recognition with Time-Depth Separable Convolutions
Awni Y. Hannun
Ann Lee
Qiantong Xu
R. Collobert
53
97
0
04 Apr 2019
Correcting Length Bias in Neural Machine Translation
Correcting Length Bias in Neural Machine Translation
Kenton W. Murray
David Chiang
AIMat
69
157
0
29 Aug 2018
A Comparison of Techniques for Language Model Integration in
  Encoder-Decoder Speech Recognition
A Comparison of Techniques for Language Model Integration in Encoder-Decoder Speech Recognition
Shubham Toshniwal
Anjuli Kannan
Chung-Cheng Chiu
Yonghui Wu
Tara N. Sainath
Karen Livescu
67
156
0
27 Jul 2018
Minimum Word Error Rate Training for Attention-based
  Sequence-to-Sequence Models
Minimum Word Error Rate Training for Attention-based Sequence-to-Sequence Models
Rohit Prabhavalkar
Tara N. Sainath
Yonghui Wu
Patrick Nguyen
Zhiwen Chen
Chung-Cheng Chiu
Anjuli Kannan
58
162
0
05 Dec 2017
Cold Fusion: Training Seq2Seq Models Together with Language Models
Cold Fusion: Training Seq2Seq Models Together with Language Models
Anuroop Sriram
Heewoo Jun
S. Satheesh
Adam Coates
VLM
81
281
0
21 Aug 2017
RETURNN: The RWTH Extensible Training framework for Universal Recurrent
  Neural Networks
RETURNN: The RWTH Extensible Training framework for Universal Recurrent Neural Networks
P. Doetsch
Albert Zeyer
P. Voigtlaender
Ilya Kulikov
Ralf Schluter
Hermann Ney
53
76
0
02 Aug 2016
Length bias in Encoder Decoder Models and a Case for Global Conditioning
Length bias in Encoder Decoder Models and a Case for Global Conditioning
Pavel Sountsov
Sunita Sarawagi
AI4CE
51
42
0
10 Jun 2016
On Using Monolingual Corpora in Neural Machine Translation
On Using Monolingual Corpora in Neural Machine Translation
Çağlar Gülçehre
Orhan Firat
Kelvin Xu
Kyunghyun Cho
Loïc Barrault
Huei-Chi Lin
Fethi Bougares
Holger Schwenk
Yoshua Bengio
121
561
0
11 Mar 2015
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