Automatic pronunciation assessment is commonly developed to evaluate pronunciation
quality of second language (L2) learners. Traditional methods for automatic pronunciation …

This paper proposes an end-to-end pronunciation assessment method to exploit the
adequate native data and reduce the need for non-native data costly to label. To obtain …

Non-autoregressive models and, in particular, Connectionist Temporal Classification (CTC)
models have been the most popular approaches towards mispronunciation detection and …

Automatic pronunciation assessment is commonly trained and applied for a specific
language, which is not practical in multi-lingual or low-resource scenarios. In this paper, we …

Cet article, consacré au lien entre traitement automatique et apprentissage de la
prononciation en L2, vise à offrir une vue d'ensemble des méthodes et pratiques …

This paper presents a novel approach for phone-level pronunciation scoring. The proposed
method relies on the two usual stages of pronunciation scoring: an acoustic model …

Automatic pronunciation assessment is an indispensable technology in computer-assisted
pronunciation training systems. To further evaluate the quality of pronunciation, multi-task …

This study investigates the possibility to use automatic, multi-level features for the prediction
of L2 speech proficiency. The method was applied on a corpus containing audio recordings …

This paper investigates DNN-based scoring techniques when they are applied to two tasks
related to foreign language education. One is a conventional task, which attempts to predict …

The common approach for pronunciation evaluation is based on Goodness of pronunciation
(GOP). It has been found that GOP may perform worse under noise conditions. Traditional …