Over unique users have helped us reach a total of 59,155 ayahs so far alhamdulillah!
What is Tarteel?
Tarteel is an open-source project designed to help build digital tools to analyze the recitation of the Quran. Given the important place of reciting the Quran in the lives of Muslims, it is important to build software tools that can help ordinary Muslims recite the Quran with greater accuracy and appreciation. The name tarteel comes from the Quran itself, where God commands us to "recite the Quran with tarteel (slow, measured rhythmic tones)" (73:4).
What is the Tarteel 50,000 challenge?
The goal of the Tarteel 50,000 Challenge is to build the world's first public dataset of Quranic recitations carried out by ordinary Muslims. Most of the available audio of the Quran being recited is from professional reciters with strong fluency in tajweed (rules of recitation) and is recorded in studios. This is valuable when someone wants to listen to a recitation of the Quran.
However, many software tools that Muslim developers are interested in building require training machine learning models on Quranic recitation (e.g. to convert recitation2text), as it is recited by ordinary Muslims. The recitation of ordinary Muslims differs from professional recordings in many ways: for example, it may include background noise, or may be recited by people with limited knowledge of tajweed, or the demographics of reciters may be different. By collecting this data, we can train machine learning models, which we will release to software developers who are interested in developing a wide variety of applications that are based on recitation2text, things like:
- Hifz helping tools that automatically correct mistakes
- Tajweed teaching tools in a similar vein
- Masjid kiosks that follow the imam and display the translation of the verse
Who is a part of Tarteel?
Tarteel came out bi'iznillah and with the efforts of the following people:
- Abubakar Abid, PhD student at Stanford University
- Ali Abid, software engineer at Google
- Ali Abdalla, mechanical engineer at Tesla
- Abdellatif Abdelfattah, software engineer at Twitter
- BaHaa Jr., software engineering student at HTI
- Hamzah Khan, software engineer at Uber ATG
- Areeba Abid, biomedical engineering student at Georgia Tech
- Anas Abou Allaban, roboticist and undergraduate at Northeastern University
- Abdulrahman Alfozan, software engineer at Facebook
- Mohammad Siddiqui, 4th Year undergraduate student at UCLA.
- Ali Emara, iOS Software Engineer at Adobe
- Haider Ahmad, recent Duke University grad
- Marwa Abdulhai, computer science undergraduate at MIT
- Moin Nadeem, junior at MIT studying computer science
- Moumen Soliman, Front End Software Engineer
How can I help?
Tarteel is an open-source project that is maintained by developers interested in furthering the mission of Tarteel. If you'd like to contribute, please email us or check out our GitHub repos: https://github.com/Tarteel-io/
What is the demographic breakdown of Tarteel users?
Are the verses that are being recited varied?
To build good machine learning models, it helps to have people recite different verses from across the entire Quran. We're measuring how well we've covered the Qur'an and these are our stats so far:
Where can I learn more about Tarteel?
For more information, please check out our white paper.