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Itgan at NADI 2026 shared task: Parameter-Efficient Whisper Adaptation for Robust, Mixed-Dialect and Code-Switched Arabic ASR

arXiv cs.CL ↗ · 2026-10-08 Cached

The Itgan team describes a unified Whisper+LoRA recipe adapted for the three NADI 2026 Arabic ASR subtasks, showing that per-dialect specialists, base-model choice, and training-free weight averaging each dominate for different subtasks rather than any single novel component.

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