Computer-assisted pronunciation training: From pronunciation scoring towards spoken language learning
This paper reviews the research approaches used in computer-assisted pronunciation
training (CAPT), addresses the existing challenges, and discusses emerging trends and …
training (CAPT), addresses the existing challenges, and discusses emerging trends and …
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 …
mispronunciation detection and diagnosis (MDD), to circumvent the difficulties encountered …
Automatic Pronunciation Assessment--A Review
Pronunciation assessment and its application in computer-aided pronunciation training
(CAPT) have seen impressive progress in recent years. With the rapid growth in language …
(CAPT) have seen impressive progress in recent years. With the rapid growth in language …
[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 …
teaching as of early 2012. A discussion of all major components contributing to …
End-to-end automatic pronunciation error detection based on improved hybrid ctc/attention architecture
L Zhang, Z Zhao, C Ma, L Shan, H Sun, L Jiang… - Sensors, 2020 - mdpi.com
Advanced automatic pronunciation error detection (APED) algorithms are usually based on
state-of-the-art automatic speech recognition (ASR) techniques. With the development of …
state-of-the-art automatic speech recognition (ASR) techniques. With the development of …
[HTML][HTML] Automatic Speech Recognition and Pronunciation Error Detection of Dutch Non-native Speech: cumulating speech resources in a pluricentric language
The shortage of large-scale learners' speech corpora and precise manual annotations are
two major challenges for automatic L2 speech recognition and error detection in L2 speech …
two major challenges for automatic L2 speech recognition and error detection in L2 speech …
A dimensionality reduction-based efficient software fault prediction using Fisher linear discriminant analysis (FLDA)
Software quality is an important factor in the success of software companies. Traditional
software quality assurance techniques face some serious limitations especially in terms of …
software quality assurance techniques face some serious limitations especially in terms of …
Cross-lingual transfer learning of non-native acoustic modeling for pronunciation error detection and diagnosis
R Duan, T Kawahara, M Dantsuji… - IEEE/ACM Transactions …, 2019 - ieeexplore.ieee.org
In computer-assisted pronunciation training (CAPT), the scarcity of large-scale non-native
corpora and human expert annotations are two fundamental challenges to non-native …
corpora and human expert annotations are two fundamental challenges to non-native …
[PDF][PDF] Landmark-based automated pronunciation error detection.
We present a pronunciation error detection method for second language learners of English
(L2 learners). The method is a combination of confidence scoring at the phone level and …
(L2 learners). The method is a combination of confidence scoring at the phone level and …
[PDF][PDF] New perspectives in teaching pronunciation
MG Busa - 2008 - openstarts.units.it
Computer Assisted Language Learning (CALL) applications are a useful aid for both
language teachers and individual learners. CALL applications offer individualized …
language teachers and individual learners. CALL applications offer individualized …