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Investigating the Effect of Language Models in Sequence Discriminative
  Training for Neural Transducers

Investigating the Effect of Language Models in Sequence Discriminative Training for Neural Transducers

11 October 2023
Zijian Yang
Wei Zhou
Ralf Schluter
Hermann Ney
ArXivPDFHTML

Papers citing "Investigating the Effect of Language Models in Sequence Discriminative Training for Neural Transducers"

3 / 3 papers shown
Title
Consistent Training and Decoding For End-to-end Speech Recognition Using
  Lattice-free MMI
Consistent Training and Decoding For End-to-end Speech Recognition Using Lattice-free MMI
Jinchuan Tian
Jianwei Yu
Chao Weng
Shi-Xiong Zhang
Dan Su
Dong Yu
Yuexian Zou
AuLLM
21
13
0
05 Dec 2021
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
1