Proactive and reactive engagement of artificial intelligence methods for education: a review

S Mallik, A Gangopadhyay - Frontiers in artificial intelligence, 2023 - frontiersin.org
The education sector has benefited enormously through integrating digital technology driven
tools and platforms. In recent years, artificial intelligence based methods are being …

Computer-assisted pronunciation training: From pronunciation scoring towards spoken language learning

NF Chen, H Li - 2016 Asia-Pacific Signal and Information …, 2016 - ieeexplore.ieee.org
This paper reviews the research approaches used in computer-assisted pronunciation
training (CAPT), addresses the existing challenges, and discusses emerging trends and …

Speech processing for language learning: A practical approach to computer-assisted pronunciation teaching

N Bogach, E Boitsova, S Chernonog, A Lamtev… - Electronics, 2021 - mdpi.com
This article contributes to the discourse on how contemporary computer and information
technology may help in improving foreign language learning not only by supporting better …

[PDF][PDF] Improving Mispronunciation Detection for Non-Native Learners with Multisource Information and LSTM-Based Deep Models.

W Li, NF Chen, SM Siniscalchi, CH Lee - Interspeech, 2017 - isca-archive.org
In this paper, we utilize manner and place of articulation features and deep neural network
models (DNNs) with long short-term memory (LSTM) to improve the detection performance …

[PDF][PDF] A Study of Objective Measurement of Comprehensibility through Native Speakers' Shadowing of Learners' Utterances.

Y Inoue, S Kabashima, D Saito, N Minematsu… - …, 2018 - gavo.tu-tokyo.ac.jp
While learners desire to acquire so comprehensible pronunciations as to make themselves
understood smoothly, acquisition often becomes difficult because, outside of classrooms, it …

Boosting End-to-End Multilingual Phoneme Recognition Through Exploiting Universal Speech Attributes Constraints

H Yen, SM Siniscalchi, CH Lee - ICASSP 2024-2024 IEEE …, 2024 - ieeexplore.ieee.org
We propose a first step toward multilingual end-to-end automatic speech recognition (ASR)
by integrating knowledge about speech articulators. The key idea is to leverage a rich set of …

End-to-end articulatory modeling for dysarthric articulatory attribute detection

Y Lin, L Wang, J Dang, S Li… - ICASSP 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
In this study, we focus on detecting articulatory attribute errors for dysarthric patients with
cerebral palsy (CP) or amyotrophic lateral sclerosis (ALS). There are two major challenges …

Data mining in foreign language learning

J Bravo‐Agapito, CF Bonilla… - … Reviews: Data Mining …, 2020 - Wiley Online Library
Educational data mining (EDM) combines the techniques of data mining with educational
data in order to provide students, instructors, and researchers with knowledge that can …

[PDF][PDF] An Alignment Method Leveraging Articulatory Features for Mispronunciation Detection and Diagnosis in L2 English.

Q Chen, B Lin, Y Xie - INTERSPEECH, 2022 - isca-archive.org
Abstract Mispronunciation Detection and Diagnosis (MD&D) technology is used for detecting
mispronunciations and providing feedback. Most MD&D systems are based on phoneme …

Traitement de la prononciation en langue étrangère: approches didactiques, méthodes automatiques et enjeux pour l'apprentissage

S Detey, L Fontan, T Pellegrini - Revue TAL: traitement automatique des …, 2016 - hal.science
Cet article, consacré au lien entre traitement automatique et apprentissage de la
prononciation en L2, vise à offrir une vue d'ensemble des méthodes et pratiques …