Dr. Shammur Absar Chowdhury
Scientist - PI and Project Lead Qatar Computing Research Institute
Core members The team behind Q-Voice.
Dr. Shazia Afzal
Senior Software Engineer
Qatar Computing Research Institute
Hamdy Mubarak
Senior Software Engineer
Qatar Computing Research Institute
Fatema Hafez
Content Evaluation
Qatar Computing Research Institute
Former Team The team behind Q-Voice.
Dr. Ahmed Ali
Principal Software Engineer - Co-PI Qatar Computing Research Institute
Yassine EL Kheir
Research Associate
Qatar Computing Research Institute
Abdelrahman Mattar
Application Developer
Ahmed Alruhban
Consultant, Curriculum Design School of Languages, IHU, Turkey
Ibrahim Mohammed
Consultant, Annotation Team Lead
Demonstration
Empowering Learners
Help non-native speakers learn and practice modern standard Arabic and reduce the influence of dialects.
Personalized Learning Experience
Provide tailored learning experiences with targeted feedback to boost confidence and encourage continued learning.
Strengthen Arabic Speech Research
Model better Arabic phonetic space, handling different accents, dialects, and speaking styles. Improve L2 and children speech models and explore acoustic modeling and augmentation techniques.
Contact Feel free to connect.
Contact the team
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Papers The research behind Q-Voice.
Automatic Pronunciation Assessment - A Review
Paper Reference: Accepted EMNLP-2023 Findings
Paper hereMulti-View Multi-Task Representation Learning for Mispronunciation Detection
Paper Reference: EL Kheir, Y., Chowdhury, S., Ali, A. (2023) Multi-View Multi-Task Representation Learning for Mispronunciation Detection. Proc. 9th Workshop on Speech and Language Technology in Education (SLaTE), 86-90, doi: 10.21437/SLaTE.2023-18
Paper hereMyVoice: Arabic Speech Resource Collaboration Platform
Paper Reference: Elshahawy, Y., El Kheir, Y., Chowdhury, S.A., Ali, A.M. (2023) MyVoice: Arabic Speech Resource Collaboration Platform. Proc. INTERSPEECH 2023, 3685-3686
Paper hereQVoice: Arabic Speech Pronunciation Learning Application
Paper Reference: El Kheir, Y., Khnaisser, F., Chowdhury, S.A., Mubarak, H., Afzal, S., Ali, A.M. (2023) QVoice: Arabic Speech Pronunciation Learning Application. Proc. INTERSPEECH 2023, 3677-3678
Paper hereThe complementary roles of non-verbal cues for Robust Pronunciation Assessment
Paper Reference: arXiv preprint
Paper hereSpeechblender: Speech augmentation framework for mispronunciation data generation
Paper Reference: EL Kheir, Y., Chowdhury, S., Ali, A., Mubarak, H., Afzal, S. (2023) SpeechBlender: Speech Augmentation Framework for Mispronunciation Data Generation. Proc. 9th Workshop on Speech and Language Technology in Education (SLaTE), 26-30, doi: 10.21437/SLaTE.2023-6
Paper here