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This paper introduces PersianVox, a fully automated pipeline designed to generate high-quality speech corpora from unlabeled web data, using a novel prosody-aware segmentation strategy that utilizes acoustic turn-detection to preserve linguistic completeness and optimize utterance duration for long-context modeling.