most citedAdvancing Arabic Speech Recognition Through Large-Scale Weakly Supervised Learning

1 citations · 1 across the 2 of their papers we have counts for

collaborators
Showing cs.CLShow all

1 paper · 1 filter

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…