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-# 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 Notebooks/run_ui.ipynb. The last cell will hear your
-recitation for 5 seconds (changable) 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.