Efficient personalized mispronunciation detection of Taiwanese-accented English speech based on unsupervised model adaptation and dynamic sentence selection-Reference-Cited by-同舟云学术

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Efficient personalized mispronunciation detection of Taiwanese-accented English speech based on unsupervised model adaptation and dynamic sentence selection

Published:2013-12 Issue:5 Volume:26 Page:446-467
ISSN:0958-8221
Container-title:Computer Assisted Language Learning
language:en
Short-container-title:Computer Assisted Language Learning

Author:

Wu Chung-Hsien,Su Hung-Yu,Liu Chao-Hong

Publisher

Informa UK Limited

Subject

Computer Science Applications,Linguistics and Language,Language and Linguistics

Link

http://www.tandfonline.com/doi/pdf/10.1080/09588221.2012.687383

Reference33 articles.

1. Bozkurt, B., Ozturk, O. and Dutoit, T.Text design for TTS speech corpus building using a modified greedy selection. Paper presented at the Eurospeech 2003.

2. Chandel, A., Parate, A., Madathingal, M., Pant, H., Rajput, N., Ikbal, S. … and Verma, A.Sensei: Spoken language assessment for call center agents. Paper presented at the ASRU 2007, Kyoto, Japan.

3. Voice recognition software accuracy with second language speakers of English

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1. 2D Spectrogram analysis using vision transformer to detect mispronounced Arabic utterances for children;Applied Soft Computing;2024-11

2. Evaluating a computer-assisted pronunciation training (CAPT) technique for efficient classroom instruction;Computer Assisted Language Learning;2014-10-02

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