PersianVox: A Prosody-Aware Approach for Speech Dataset Generation from In-the-Wild Data
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.