This paper reviews the research approaches used in computer-assisted pronunciation
training (CAPT), addresses the existing challenges, and discusses emerging trends and …

Abstract English language education is undergoing a transformative shift, propelled by
advancements in technology. This research explores the integration of the Internet of Things …

We carry out an in-depth investigation on a newly proposed Maximum F1-score Criterion
(MFC) discriminative training objective function for Goodness of Pronunciation (GOP) based …

This paper investigates the use of multidistribution deep neural networks (DNNs) for
mispronunciation detection and diagnosis (MDD), to circumvent the difficulties encountered …

Advanced automatic pronunciation error detection (APED) algorithms are usually based on
state-of-the-art automatic speech recognition (ASR) techniques. With the development of …

Methods for foreign accent conversion (FAC) aim to generate speech that sounds similar to
a given non-native speaker but with the accent of a native speaker. Conventional FAC …

Spontaneous speech analysis plays an important role in the study and treatment of aphasia,
but can be difficult to perform manually due to the time consuming nature of speech …

A mispronunciation of Arabic short vowels can change the meaning of a complete sentence.
For this reason, both the students and teachers of Classical Arabic (CA) are required extra …

Computer-assisted language learning (CALL) systems provide an automated framework to
identify mispronunciation and give useful feedback. Traditionally, handcrafted acoustic …

Aphasia is a communication disorder that hinders the ability to express and communicate
with society. Aphasia individual can face difficulties in sentence formation, opinions and …