Speech
Nabr
Acoustic model for Quranic recitation: ASR and Tajweed-aware mispronunciation detection.
Commercial
About Nabr
Specialized acoustic model for Quranic recitation analysis and mispronunciation detection. Not a general speech-to-text model adapted for Arabic, but trained on the actual phonetics of Tilawa. Analyzes 8 acoustic properties per sound (Madd, Ghunnah, Qalqalah, Tafkhim). Catches errors a human Quran teacher would catch. Character error rate: 0.59%, Word error rate: 2.26%. Real-time processing; already in production in the Eqraa Quran app.
At a glance
- Type
- Speech
- License
- Commercial
- Deployment
- Cloud APIOn-premises
- Research track
- Islamic text & acoustic intelligence
- Links
- Try it
Papers
Islamic text & acoustic intelligence
Annotating Real-World Quranic Recitations for Mispronunciation Detection and Diagnosis
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