obadx/recitation-segmentation
Recitation Segmentation Dataset for Holy Quran Pronunciation Error Detection This dataset is used for building models that segment Holy Quran recitations based on pause points (waqf) with high accuracy. The segments are crucial for tasks like Automatic Pronunciation Error Detection and Correction, leveraging the rigorous recitation rules (tajweed) of the Holy Quran. The dataset was presented in the paper Automatic Pronunciation Error Detection and Correction of the Holy Quran's… See the full description on the dataset page: https://huggingface.co/datasets/obadx/recitation-segmentation.
| Author / organization | obadx |
|---|---|
| License (as declared) | mit |
| Downloads | 161 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 11 March 2025 |
| Last updated at source | 3 September 2025 |
Popularity, last 2 days
161 now (-3 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
More from obadx
- obadx/muaalem-annotated-v3Dataset
- obadx/mualem-recitations-originalDataset
- obadx/mualem-recitations-annotatedDataset
- obadx/qdat_benchDataset
- obadx/freesound-commercial-50k-noise-onlyDataset
- obadx/qdatDataset
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.