ASMDD: Arabic Speech Mispronunciation Detection Dataset
This dataset addresses the need for resources in Arabic speech processing, specifically for mispronunciation detection in children, but is incremental as it primarily offers new data rather than novel methods.
The authors introduced ASMDD, the largest dataset for Arabic speech mispronunciation detection, focusing on Egyptian children's pronunciations of the top 100 Arabic words, with annotations by expert listeners.
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.