An overview of spoken language technology for education

M Eskenazi - Speech communication, 2009 - Elsevier
This paper reviews research in spoken language technology for education and more
specifically for language learning. It traces the history of the domain and then groups main …

Mispronunciation detection and diagnosis in l2 english speech using multidistribution deep neural networks

K Li, X Qian, H Meng - IEEE/ACM Transactions on Audio …, 2016 - ieeexplore.ieee.org
This paper investigates the use of multidistribution deep neural networks (DNNs) for
mispronunciation detection and diagnosis (MDD), to circumvent the difficulties encountered …

[PDF][PDF] Automatic error detection in pronunciation training: Where we are and where we need to go

SM Witt - International Symposium on automatic detection on …, 2012 - researchgate.net
This paper discusses the state of the art of research in computer assisted pronunciation
teaching as of early 2012. A discussion of all major components contributing to …

Comparing different approaches for automatic pronunciation error detection

H Strik, K Truong, F De Wet, C Cucchiarini - Speech communication, 2009 - Elsevier
One of the biggest challenges in designing computer assisted language learning (CALL)
applications that provide automatic feedback on pronunciation errors consists in reliably …

Assessing pronunciation improvement in students of English using a controlled computer-assisted pronunciation tool

C Tejedor-García, D Escudero-Mancebo… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Over the last few years, we have witnessed a growing interest in computer-assisted
pronunciation training (CAPT) tools and the commercial success of foreign language …

Golden speaker builder–An interactive tool for pronunciation training

S Ding, C Liberatore, S Sonsaat, I Lučić… - Speech …, 2019 - Elsevier
The type of voice model used in Computer Assisted Pronunciation Instruction is a crucial
factor in the quality of practice and the amount of uptake by language learners. As an …

Oral proficiency training in Dutch L2: The contribution of ASR-based corrective feedback

C Cucchiarini, A Neri, H Strik - Speech Communication, 2009 - Elsevier
In this paper, we introduce a system for providing automatically generated corrective
feedback on pronunciation errors in Dutch, Dutch-CAPT. We describe the architecture of the …

Using challenges to enhance a learning game for pronunciation training of English as a second language

C Tejedor-García, D Escudero-Mancebo… - IEEE …, 2020 - ieeexplore.ieee.org
Learning games have a remarkable potential for education. They provide an emergent form
of social participation that deserves the assessment of their usefulness and efficiency in …

The effectiveness of computer-based speech corrective feedback for improving segmental quality in L2 Dutch

A Neri, C Cucchiarini, H Strik - ReCALL, 2008 - cambridge.org
Although the success of automatic speech recognition (ASR)-based Computer Assisted
Pronunciation Training (CAPT) systems is increasing, little is known about the pedagogical …

Deriving salient learners' mispronunciations from cross-language phonological comparisons

H Meng, YY Lo, L Wang, WY Lau - 2007 IEEE Workshop on …, 2007 - ieeexplore.ieee.org
This work aims to derive salient mispronunciations made by Chinese (L1 being Cantonese)
learners of English (L2 being American English) in order to support the design of …