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Submitted
December 25, 2025
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February 23, 2026
Published
June 1, 2026
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Abstract

This paper presents the SH_ArabicIraqiAccent corpus, a newly developed speech corpus that captures spontaneous Iraqi Arabic from the northern suburbs of Baghdad. This corpus comprises spontaneous speech from 47 speakers (28 females aged 9–59 and 19 males aged 20–63) discussing both personal and general community topics relevant to the region. The recordings were made in a controlled environment at a sampling rate of 16 kHz, with 16-bit resolution and a mono channel, to ensure clarity and fidelity. The total duration is approximately 2.5 hours and is professionally recorded with minimal background noise. The corpus addresses the need for dialect-specific resources, as Modern Standard Arabic corpora do not adequately represent regional spoken varieties. The dataset was carefully designed to address key parameters, including speaker diversity (age and gender), phoneme coverage, and recording quality, and supports applications in natural language processing (NLP), automatic speech recognition (ASR), text-to-speech (TTS), and speaker identification. The corpus complements existing resources by focusing on underrepresented Iraqi Arabic dialects and offers detailed acoustic analyses, including fundamental frequency and intensity measurements. This work situates the SH_ArabicIraqiAccent alongside other primary Arabic linguistic resources and highlights its potential to enhance understanding of Arabic dialects and to support model development. The corpus and relevant statistical analyses are publicly available and contribute to Arabic speech and language research, particularly for dialectal NLP tasks.


 

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Copyright (c) 2026 The Author(s), under exclusive license to the University of Thi-Qar. UTJES is an open-access journal where all contents are free of charge. Articles of this journal are licensed under the terms of the Creative commons Attribution 4.0 International License Creative Commons-Attribution (CC BY 4.0) that licensees are unrestrictedly allowed to search, download, share, distribute, print, or link to the full texts of the articles, crawl them for indexing and reproduce any medium of the articles provided that they give the author(s) proper credits (citation). The authors hold the copyright for their published work on UTJES website, while UTJES is responsible for appreciating citation for their work, which is released under CC-BY-4.0 enabling the unrestricted use, distribution, and reproduction of an article in any medium, provided that the original work is properly cited.

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