The largest dataset of Arabic speech mispronunciation detections in Egyptian dialogues is introduced. The dataset is composed of annotated audio files representing the top 100 words that are most frequently used in the Arabic language, pronounced by 100 Egyptian children (aged between 2 and 8 years old). The dataset is collected and annotated on segmental pronunciation error detections by expert listeners.
@article{arxiv.2111.01136,
title = {ASMDD: Arabic Speech Mispronunciation Detection Dataset},
author = {Salah A. Aly and Abdelrahman Salah and Hesham M. Eraqi},
journal= {arXiv preprint arXiv:2111.01136},
year = {2021}
}