2 citations · 4 across the 6 of their papers we have counts for
6 papers
CAFE A Novel Code switching Dataset for Algerian Dialect French and English
Houssam Eddine-Othman Lachemat, Akli Abbas, Nourredine Oukas +3
The paper introduces and publicly releases (Data download link available after acceptance) CAFE -- the first Code-switching dataset between Algerian dialect, French, and english la…
Automatic Pronunciation Assessment -- A Review
Yassine El Kheir, Ahmed Ali, Shammur Absar Chowdhury
Pronunciation assessment and its application in computer-aided pronunciation training (CAPT) have seen impressive progress in recent years. With the rapid growth in language proces…
L1-aware Multilingual Mispronunciation Detection Framework
Yassine El Kheir, Shammur Absar Chowdhury, Ahmed Ali
The phonological discrepancies between a speaker's native (L1) and the non-native language (L2) serves as a major factor for mispronunciation. This paper introduces a novel multili…
The complementary roles of non-verbal cues for Robust Pronunciation Assessment
Yassine El Kheir, Shammur Absar Chowdhury, Ahmed Ali
Research on pronunciation assessment systems focuses on utilizing phonetic and phonological aspects of non-native (L2) speech, often neglecting the rich layer of information hidden…
MyVoice: Arabic Speech Resource Collaboration Platform
Yousseif Elshahawy, Yassine El Kheir, Shammur Absar Chowdhury +1
We introduce MyVoice, a crowdsourcing platform designed to collect Arabic speech to enhance dialectal speech technologies. This platform offers an opportunity to design large diale…
QVoice: Arabic Speech Pronunciation Learning Application
Yassine El Kheir, Fouad Khnaisser, Shammur Absar Chowdhury +3
This paper introduces a novel Arabic pronunciation learning application QVoice, powered with end-to-end mispronunciation detection and feedback generator module. The application is…