ASMDD: Arabic Speech Mispronunciation Detection Dataset
Not on the map. Why?
Abstract (arXiv)
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.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). First posted on arXiv 1 Nov 2021.
Builds on
0 of 0 references.
No references here yet.
Built on by
Not cited yet.