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On the Relation between Internal Language Model and Sequence
  Discriminative Training for Neural Transducers

On the Relation between Internal Language Model and Sequence Discriminative Training for Neural Transducers

25 September 2023
Zijian Yang
Wei Zhou
Ralf Schluter
Hermann Ney
ArXivPDFHTML

Papers citing "On the Relation between Internal Language Model and Sequence Discriminative Training for Neural Transducers"

3 / 3 papers shown
Title
Internal Language Model Training for Domain-Adaptive End-to-End Speech
  Recognition
Internal Language Model Training for Domain-Adaptive End-to-End Speech Recognition
Zhong Meng
Naoyuki Kanda
Yashesh Gaur
S. Parthasarathy
Eric Sun
Liang Lu
Xie Chen
Jinyu Li
Y. Gong
AuLLM
19
52
0
02 Feb 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
39
35
0
12 Dec 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
65
39
0
28 Nov 2019
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