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Whisper Base Ar Quran Ft Hijaiyah 2
Fine-tuned Arabic Quran speech recognition model based on tarteel-ai/whisper-base-ar-quran, specializing in Hijaiyah letter pronunciation recognition
Downloads 23
Release Time : 12/2/2024
Model Overview
This model is an Arabic Quran speech recognition model based on the Whisper architecture, fine-tuned with the Reinjin/Pelafalan_Huruf_Hijaiyah dataset, specifically designed for recognizing Hijaiyah letter pronunciations, achieving 95.4% accuracy on the evaluation set.
Model Features
High-accuracy pronunciation recognition
Achieves 95.4% accuracy in Hijaiyah letter pronunciation recognition tasks
Quran speech optimization
Pre-trained on Quran speech data, providing better recognition capabilities for Arabic religious content
Lightweight model
Uses the base-scale Whisper architecture, balancing performance and resource requirements
Model Capabilities
Arabic speech recognition
Hijaiyah letter pronunciation classification
Quran content recognition
Use Cases
Religious education
Quran pronunciation teaching aid
Used to assist learners in correctly pronouncing Hijaiyah letters
Provides real-time pronunciation feedback
Arabic learning applications
Integrated into language learning apps to help learners master basic Arabic pronunciation
Speech technology
Domain-specific speech recognition
Dedicated speech recognition system for religious content
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