An acoustical dataset of storytelling and story reading in Jordanian Arabic
Mohammad Abuoudeh · Data in Brief · 2026
). The adaptation was prepared by the experimenter, and participants were instructed to use their native dialect. In the first task, participants read the story from a computer screen, while in the second, they retold the story without referring to the text, thereby aiming to elicit a natural storytelling context. The collected speech data were transcribed in Arabic orthography, then transliterated using a phonetic transcription system, and finally segmented by forced alignment. Subsequent manual verification was performed in the Praat software, resulting in a phonetic database ready for research applications. The development of this corpus addresses the lack of Jordanian Arabic speech resources, facilitating comparative and quantitative linguistic analyses.