Arabic speech recognition using neural networks: concepts, literature review and challenges

S Haboussi, N Oukas, T Zerrouki, H Djettou - Journal of Umm Al-Qura …, 2025 - Springer
The ability to recognize and translate human speech has grown in importance. By
completing this task, obstacles are removed and smooth communication between people …

Active learning with aragpt2 for arabic named entity recognition

H Mahdhaoui, A Mars, M Zrigui - International Conference on …, 2023 - Springer
Abstract Arabic Named Entity Recognition (ANER) is a crucial task in natural language
processing that aims to identify and classify named entities in text into predefined categories …

Arabic speech recognition using deep learning and common voice dataset

N Oukas, T Zerrouki, S Haboussi… - … on Innovation and …, 2022 - ieeexplore.ieee.org
Speech recognition is critical in creating a natural voice interface for human-to-human
communication with modern digital life equipment. Smart homes, vehicles, autonomous …

Integration of Different Optimization Approaches for the Classification of Different Arabic and English Voice Commands

K Dabbabi, A Mars - 2023 IEEE International Conference on …, 2023 - ieeexplore.ieee.org
Several hyperparameters represent major sensitive factors for deep learning models. For
this, different hyperparameter optimization approaches are proposed to accelerate the …

[PDF][PDF] Identification of different Arabic dialects using Randon Multimpdel Deep Learning (RMDL) approach on AOC Database

AMKDM Zrigui - researchgate.net
Like other languages, the Arabic dialect has both spoken and written forms. For the first form,
it is the real mother tongue of Arabic speakers explored on a daily basis. As for the second …