3 papers
cs.CL2025
Munsit at NADI 2025 Shared Task 2: Pushing the Boundaries of Multidialectal Arabic ASR with Weakly Supervised Pretraining and Continual Supervised Fine-tuning
Mahmoud Salhab, Shameed Sait, Mohammad Abusheikh +1
Automatic speech recognition (ASR) plays a vital role in enabling natural human-machine interaction across applications such as virtual assistants, industrial automation, customer…
cs.AI2025
Advancing Arabic Speech Recognition Through Large-Scale Weakly Supervised Learning
Mahmoud Salhab, Marwan Elghitany, Shameed Sait +3
Automatic speech recognition (ASR) is crucial for human-machine interaction in diverse applications like conversational agents, industrial robotics, call center automation, and aut…
cs.CL2024
AraSpell: A Deep Learning Approach for Arabic Spelling Correction
Mahmoud Salhab, Faisal Abu-Khzam
Spelling correction is the task of identifying spelling mistakes, typos, and grammatical mistakes in a given text and correcting them according to their context and grammatical str…