| # Quran Speech Recognizer | |
| This application will listen to the user's Quran recitation, and take the | |
| user to the position of the Quran from where the s/he had recited. | |
| You can also take a look at our [presentation slides](https://docs.google.com/presentation/d/1dbbVYHi3LQRiggH14nN36YV2A-ddUAKg67aX5MWi0ys/edit?usp=sharing). | |
| # Methodology | |
| We used transfer learning to make our application. We fine-tuned the pretrained | |
| model available at https://huggingface.co/elgeish/wav2vec2-large-xlsr-53-arabic | |
| using the data available at https://www.kaggle.com/c/quran-asr-challenge/data. | |
| Our model can be found at https://huggingface.co/Nuwaisir/Quran_speech_recognizer. | |
| # Usage | |
| Run all the cells of run_ui.ipynb. The last cell will hear your | |
| recitation for 5 seconds (changeable) from the time you run that cell. And then convert your | |
| speech to Arabic text and show the most probable corresponding parts of 30th juzz | |
| (Surah 78 - 114) of the Quran as the output based on edit distance value. | |
| Currently, we are searching from Surah 78 to Surah 114 as the searching | |
| algorithm needs some time to search the whole Quran. This range can be changed | |
| in the 6th cell of the notebook. |