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The CUHK-TUDELFT System for The SLT 2021 Children Speech Recognition
  Challenge

The CUHK-TUDELFT System for The SLT 2021 Children Speech Recognition Challenge

12 November 2020
Si-Ioi Ng
W. Liu
Zhiyuan Peng
Siyuan Feng
Hingpang Huang
O. Scharenborg
Tan Lee
    3DV
ArXiv (abs)PDFHTML

Papers citing "The CUHK-TUDELFT System for The SLT 2021 Children Speech Recognition Challenge"

6 / 6 papers shown
Title
Automatic Speech Recognition using Advanced Deep Learning Approaches: A
  survey
Automatic Speech Recognition using Advanced Deep Learning Approaches: A survey
Hamza Kheddar
Mustapha Hemis
Yassine Himeur
OffRL
107
104
0
02 Mar 2024
Using Data Augmentations and VTLN to Reduce Bias in Dutch End-to-End
  Speech Recognition Systems
Using Data Augmentations and VTLN to Reduce Bias in Dutch End-to-End Speech Recognition Systems
T. Patel
O. Scharenborg
85
4
0
05 Jul 2023
Deep Transfer Learning for Automatic Speech Recognition: Towards Better
  Generalization
Deep Transfer Learning for Automatic Speech Recognition: Towards Better Generalization
Hamza Kheddar
Yassine Himeur
S. Al-Maadeed
Abbes Amira
F. Bensaali
190
102
0
27 Apr 2023
Utterance-level neural confidence measure for end-to-end children speech
  recognition
Utterance-level neural confidence measure for end-to-end children speech recognition
W. Liu
Tan Lee
66
6
0
16 Sep 2021
End-to-end acoustic modelling for phone recognition of young readers
End-to-end acoustic modelling for phone recognition of young readers
Lucile Gelin
Morgane Daniel
J. Pinquier
Thomas Pellegrini
70
14
0
04 Mar 2021
End-to-End Neural Systems for Automatic Children Speech Recognition: An
  Empirical Study
End-to-End Neural Systems for Automatic Children Speech Recognition: An Empirical Study
Prashanth Gurunath Shivakumar
Shrikanth Narayanan
85
57
0
19 Feb 2021
1