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Efficient Training of Neural Transducer for Speech Recognition

Efficient Training of Neural Transducer for Speech Recognition

Wei Zhou
Wilfried Michel
Ralf Schluter
Hermann Ney
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Papers citing "Efficient Training of Neural Transducer for Speech Recognition"

13 / 13 papers shown
Title
SegAug: CTC-Aligned Segmented Augmentation For Robust RNN-Transducer Based Speech Recognition
SegAug: CTC-Aligned Segmented Augmentation For Robust RNN-Transducer Based Speech Recognition
Khanh Le
Tuan Vu Ho
Dung Tran
Duc Thanh Chau
83
0
0
20 Feb 2025
On the limit of English conversational speech recognition
On the limit of English conversational speech recognition
Zoltán Tüske
G. Saon
Brian Kingsbury
39
50
0
03 May 2021
Advancing RNN Transducer Technology for Speech Recognition
Advancing RNN Transducer Technology for Speech Recognition
G. Saon
Zoltan Tueske
Daniel Bolaños
Brian Kingsbury
63
87
0
17 Mar 2021
Less Is More: Improved RNN-T Decoding Using Limited Label Context and Path Merging
Less Is More: Improved RNN-T Decoding Using Limited Label Context and Path Merging
Rohit Prabhavalkar
Yanzhang He
David Rybach
S. Campbell
A. Narayanan
Trevor Strohman
Tara N. Sainath
80
35
0
12 Dec 2020
Internal Language Model Estimation for Domain-Adaptive End-to-End Speech Recognition
Internal Language Model Estimation for Domain-Adaptive End-to-End Speech Recognition
Zhong Meng
S. Parthasarathy
Eric Sun
Yashesh Gaur
Naoyuki Kanda
Liang Lu
Xie Chen
Rui Zhao
Jinyu Li
Jiawei Liu
AuLLM
48
108
0
03 Nov 2020
Phoneme Based Neural Transducer for Large Vocabulary Speech Recognition
Phoneme Based Neural Transducer for Large Vocabulary Speech Recognition
Wei Zhou
Simon Berger
Ralf Schluter
Hermann Ney
36
33
0
30 Oct 2020
Efficient minimum word error rate training of RNN-Transducer for end-to-end speech recognition
Efficient minimum word error rate training of RNN-Transducer for end-to-end speech recognition
Jinxi Guo
Gautam Tiwari
J. Droppo
Maarten Van Segbroeck
Che-Wei Huang
A. Stolcke
Roland Maas
33
55
0
27 Jul 2020
Conformer: Convolution-augmented Transformer for Speech Recognition
Conformer: Convolution-augmented Transformer for Speech Recognition
Anmol Gulati
James Qin
Chung-Cheng Chiu
Niki Parmar
Yu Zhang
...
Wei Han
Shibo Wang
Zhengdong Zhang
Yonghui Wu
Ruoming Pang
205
3,082
0
16 May 2020
A Density Ratio Approach to Language Model Fusion in End-To-End Automatic Speech Recognition
A Density Ratio Approach to Language Model Fusion in End-To-End Automatic Speech Recognition
Erik McDermott
Hasim Sak
Ehsan Variani
52
113
0
26 Feb 2020
Single headed attention based sequence-to-sequence model for state-of-the-art results on Switchboard
Single headed attention based sequence-to-sequence model for state-of-the-art results on Switchboard
Zoltán Tüske
G. Saon
Kartik Audhkhasi
Brian Kingsbury
BDL
51
68
0
20 Jan 2020
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
105
39
0
28 Nov 2019
Listen, Attend and Spell
Listen, Attend and Spell
William Chan
Navdeep Jaitly
Quoc V. Le
Oriol Vinyals
RALM
147
2,261
0
05 Aug 2015
Sequence Transduction with Recurrent Neural Networks
Sequence Transduction with Recurrent Neural Networks
Alex Graves
157
1,858
0
14 Nov 2012