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Detection of Lexical Stress Errors in Non-Native (L2) English with Data
  Augmentation and Attention
v1v2 (latest)

Detection of Lexical Stress Errors in Non-Native (L2) English with Data Augmentation and Attention

Interspeech (Interspeech), 2020
29 December 2020
Daniel Korzekwa
Roberto Barra-Chicote
Szymon Zaporowski
Grzegorz Beringer
Jaime Lorenzo-Trueba
Alicja Serafinowicz
J. Droppo
Thomas Drugman
B. Kostek
ArXiv (abs)PDFHTML

Papers citing "Detection of Lexical Stress Errors in Non-Native (L2) English with Data Augmentation and Attention"

7 / 7 papers shown
How Does a Deep Neural Network Look at Lexical Stress in English Words?
How Does a Deep Neural Network Look at Lexical Stress in English Words?
Itai Allouche
Itay Asael
Rotem Rousso
Vered Dassa
Ann R. Bradlow
Seung-Eun Kim
Matthew A. Goldrick
Joseph Keshet
307
1
0
10 Aug 2025
Automatic Pronunciation Assessment -- A Review
Automatic Pronunciation Assessment -- A ReviewConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Yassine El Kheir
Ahmed M. Ali
Shammur A. Chowdhury
269
19
0
21 Oct 2023
Preserving Phonemic Distinctions for Ordinal Regression: A Novel Loss
  Function for Automatic Pronunciation Assessment
Preserving Phonemic Distinctions for Ordinal Regression: A Novel Loss Function for Automatic Pronunciation AssessmentAutomatic Speech Recognition & Understanding (ASRU), 2023
Bi-Cheng Yan
Hsin-Wei Wang
Yi-Cheng Wang
Jiun-Ting Li
Chi-Han Lin
Berlin Chen
188
7
0
03 Oct 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
200
34
0
02 Jul 2022
Improving Mispronunciation Detection with Wav2vec2-based Momentum
  Pseudo-Labeling for Accentedness and Intelligibility Assessment
Improving Mispronunciation Detection with Wav2vec2-based Momentum Pseudo-Labeling for Accentedness and Intelligibility AssessmentInterspeech (Interspeech), 2022
Mu Yang
K. Hirschi
S. Looney
Okim Kang
John H. L. Hansen
358
22
0
29 Mar 2022
Improving Non-native Word-level Pronunciation Scoring with Phone-level
  Mixup Data Augmentation and Multi-source Information
Improving Non-native Word-level Pronunciation Scoring with Phone-level Mixup Data Augmentation and Multi-source Information
Kaiqi Fu
Shaojun Gao
Kai Wang
Wei Li
Xiaohai Tian
Zejun Ma
190
8
0
01 Mar 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
166
14
0
07 Jun 2021
1
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