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Mispronunciation Detection in Non-native (L2) English with Uncertainty
  Modeling
v1v2 (latest)

Mispronunciation Detection in Non-native (L2) English with Uncertainty Modeling

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021
16 January 2021
Daniel Korzekwa
Jaime Lorenzo-Trueba
Szymon Zaporowski
Shira Calamaro
Thomas Drugman
B. Kostek
ArXiv (abs)PDFHTML

Papers citing "Mispronunciation Detection in Non-native (L2) English with Uncertainty Modeling"

4 / 4 papers shown
Incorporating L2 Phonemes Using Articulatory Features for Robust Speech
  Recognition
Incorporating L2 Phonemes Using Articulatory Features for Robust Speech RecognitionInterspeech (Interspeech), 2023
Jisung Wang
Haram Lee
Myungwoo Oh
185
2
0
05 Jun 2023
Computer-assisted Pronunciation Training -- Speech synthesis is almost
  all you need
Computer-assisted Pronunciation Training -- Speech synthesis is almost all you needSpeech Communication (Speech Commun.), 2022
Daniel Korzekwa
Jaime Lorenzo-Trueba
Thomas Drugman
B. Kostek
208
34
0
02 Jul 2022
Weakly-supervised word-level pronunciation error detection in non-native
  English speech
Weakly-supervised word-level pronunciation error detection in non-native English speechInterspeech (Interspeech), 2021
Daniel Korzekwa
Jaime Lorenzo-Trueba
Thomas Drugman
Shira Calamaro
B. Kostek
172
14
0
07 Jun 2021
Detection of Lexical Stress Errors in Non-Native (L2) English with Data
  Augmentation and Attention
Detection of Lexical Stress Errors in Non-Native (L2) English with Data Augmentation and AttentionInterspeech (Interspeech), 2020
Daniel Korzekwa
Roberto Barra-Chicote
Szymon Zaporowski
Grzegorz Beringer
Jaime Lorenzo-Trueba
Alicja Serafinowicz
J. Droppo
Thomas Drugman
B. Kostek
168
11
0
29 Dec 2020
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