[PDF][PDF] Explore wav2vec 2.0 for Mispronunciation Detection.

X Xu, Y Kang, S Cao, B Lin, L Ma - Interspeech, 2021 - isca-archive.org
This paper presents an initial attempt to use self-supervised learning for Mispronunciaiton
Detection. Unlike existing methods that use speech recognition corpus to train models, we …

Automatic Pronunciation Assessment--A Review

YE Kheir, A Ali, SA Chowdhury - arXiv preprint arXiv:2310.13974, 2023 - arxiv.org
Pronunciation assessment and its application in computer-aided pronunciation training
(CAPT) have seen impressive progress in recent years. With the rapid growth in language …

[PDF][PDF] Automatic Scoring at Multi-Granularity for L2 Pronunciation.

B Lin, L Wang, X Feng, J Zhang - Interspeech, 2020 - isca-archive.org
Automatic pronunciation assessment and error detection play an important part of Computer-
Assisted Pronunciation Training (CAPT). Traditional approaches normally focus on scoring …

Hierarchical pronunciation assessment with multi-aspect attention

H Do, Y Kim, GG Lee - ICASSP 2023-2023 IEEE International …, 2023 - ieeexplore.ieee.org
Automatic pronunciation assessment is a major component of a computer-assisted
pronunciation training system. To provide in-depth feedback, scoring pronunciation at …

Mispronunciation detection and diagnosis using deep neural networks: a systematic review

M Lounis, B Dendani, H Bahi - Multimedia Tools and Applications, 2024 - Springer
The increased need for foreign language learning, along with advances in speech
technology have heightened interest in computer-assisted pronunciation teaching (CAPT) …

Multilingual speech evaluation: case studies on English, Malay and Tamil

H Zhang, K Shi, NF Chen - arXiv preprint arXiv:2107.03675, 2021 - arxiv.org
Speech evaluation is an essential component in computer-assisted language learning
(CALL). While speech evaluation on English has been popular, automatic speech scoring …

Exploiting information from native data for non-native automatic pronunciation assessment

B Lin, L Wang - 2022 IEEE Spoken Language Technology …, 2023 - ieeexplore.ieee.org
This paper proposes an end-to-end pronunciation assessment method to exploit the
adequate native data and reduce the need for non-native data costly to label. To obtain …

Phoneme mispronunciation detection by jointly learning to align

B Lin, L Wang - … 2022-2022 IEEE International Conference on …, 2022 - ieeexplore.ieee.org
Phoneme mispronunciation detection plays an important role in Computer-Assisted
Pronunciation Training. Traditional methods either rely on phone recognition, which has the …

Improving mispronunciation detection of mandarin tones for non-native learners with soft-target tone labels and BLSTM-based deep tone models

W Li, NF Chen, SM Siniscalchi… - IEEE/ACM Transactions …, 2019 - ieeexplore.ieee.org
We investigate the effectiveness of soft-target tone labels and sequential context information
for mispronunciation detection of Mandarin lexical tones pronounced by second language …

[PDF][PDF] Child Speech Disorder Detection with Siamese Recurrent Network Using Speech Attribute Features.

J Wang, Y Qin, Z Peng, T Lee - INTERSPEECH, 2019 - researchgate.net
Acoustics-based automatic assessment is a highly desirable approach to detecting speech
sound disorder (SSD) in children. The performance of an automatic speech assessment …