obadx/recitation-segmentation-augmented
Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning Paper | Project Page | Code Introduction This dataset is developed as part of the research presented in the paper "Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning". The work introduces a 98% automated pipeline to produce high-quality Quranic datasets, comprising over 850 hours of audio (~300K annotated… See the full description on the dataset page: https://huggingface.co/datasets/obadx/recitation-segmentation-augmented.
| Author / organization | obadx |
|---|---|
| License (as declared) | mit |
| Downloads | 221 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 2 April 2025 |
| Last updated at source | 3 September 2025 |
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- 17 Oct 2026 Description: Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning Paper | Project Page | Code Introduction This dataset is developed as part of the research presented in the paper "Automatic Pronunciati → Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning Paper | Project Page | Code Introduction This dataset is developed as part of the research presented in the paper "Automatic Pronunciati
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