speechocean762: An open-source non-native english speech corpus for pronunciation assessment

J Zhang, Z Zhang, Y Wang, Z Yan, Q Song… - arXiv preprint arXiv …, 2021 - arxiv.org
This paper introduces a new open-source speech corpus named" speechocean762"
designed for pronunciation assessment use, consisting of 5000 English utterances from 250 …

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 …

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 …

Improving non-native mispronunciation detection and enriching diagnostic feedback with DNN-based speech attribute modeling

W Li, SM Siniscalchi, NF Chen… - 2016 IEEE international …, 2016 - ieeexplore.ieee.org
We propose the use of speech attributes, such as voicing and aspiration, to address two key
research issues in computer assisted pronunciation training (CAPT) for L2 learners, namely …

Mispronunciation detection and diagnosis with articulatory-level feedback generation for non-native arabic speech

M Algabri, H Mathkour, M Alsulaiman, MA Bencherif - Mathematics, 2022 - mdpi.com
A high-performance versatile computer-assisted pronunciation training (CAPT) system that
provides the learner immediate feedback as to whether their pronunciation is correct is very …

[HTML][HTML] Large-scale characterization of non-native Mandarin Chinese spoken by speakers of European origin: Analysis on iCALL

NF Chen, D Wee, R Tong, B Ma, H Li - Speech Communication, 2016 - Elsevier
In this work, we analyze phonetic and prosodic pronunciation patterns from iCALL, a speech
corpus designed to evaluate Mandarin mispronunciations by non-native speakers of …

Self-supervised pre-trained speech representation based end-to-end mispronunciation detection and diagnosis of Mandarin

Y Shen, Q Liu, Z Fan, J Liu, A Wumaier - IEEE Access, 2022 - ieeexplore.ieee.org
Mispronunciation Detection and Diagnosis (MDD) is an essential basic technology in
Computer-Assisted Pronunciation Training (CAPT) and Computer-Assisted Language …

[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 …

Evaluating a 3-D virtual talking head on pronunciation learning

X Peng, H Chen, L Wang, H Wang - International Journal of Human …, 2018 - Elsevier
We evaluate a 3-D virtual talking head on non-native Mandarin speaker pronunciation
learning under three language presentation conditions–audio only (AU), human face video …

Learning challenging L2 sounds via computer‐assisted training: Audiovisual training with an airflow model

F Chen, Q Xia, Y Feng, L Wang… - Journal of Computer …, 2023 - Wiley Online Library
Abstract Background Teaching Mandarin as a second language (L2) has become an
important profession and an important research area. The acquisition of unaspirated and …