Pronunciation assessment and its application in computer-aided pronunciation training
(CAPT) have seen impressive progress in recent years. With the rapid growth in language …

A mispronunciation detection and diagnosis (MD&D) system typically consists of multiple
stages, such as an acoustic model, a language model and a Viterbi decoder. In order to …

Mispronunciation detection and diagnosis (MDD) is a core component of computer-assisted
pronunciation training (CAPT). Most of the existing MDD approaches focus on dealing with …

The increased need for foreign language learning, along with advances in speech
technology have heightened interest in computer-assisted pronunciation teaching (CAPT) …

Speech-based computer-assisted language learning (CALL) systems should recognize the
utterances of the learner with high accuracy and evaluate the language proficiency of the …

This study presents a model of automatic speech recognition (ASR) that is designed to
diagnose pronunciation issues in children with speech sound disorders (SSDs) to replace …

We propose using a dynamic time warping (DTW) difference-to-sum ratio to classify speech
as either matching or diverging from a linguistic standard. This measure effectively …

With the development of deep learning, the performance of the mispronunciation detection
model has improved greatly. However, the annotation for mispronunciation is quite …

The efficacy and robustness of Ordinal Regression (OR) in assessing speech pronunciation
for language learning at phrase level has been shown before. However, for assessing …

This paper presents a novel Dialectal Sound and Vowelization Recovery framework,
designed to recognize borrowed and dialectal sounds within phonologically diverse and …