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Whisper Small For Quran
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Whisper Small For Quran

Developed by areaz
A Quran speech recognition model fine-tuned based on OpenAI Whisper-small, specifically designed for Arabic Quran audio
Speech Recognition
Transformers
 ArabicOpen Source License:Apache-2.0#Arabic speech recognition#Quran audio transcription#Low word error rate
Downloads 26
Release Time : 1/9/2025

Model Overview

This model is a speech recognition model optimized for Arabic Quran audio, achieving a word error rate (WER) of 11.98% after fine-tuning on Quran audio datasets

Model Features

Quran-specific optimization
Fine-tuned for Quran audio characteristics on top of the standard Whisper model
Arabic language support
Specifically optimized for accurate recognition of Quran recitation in Arabic
Lightweight model
Based on Whisper-small architecture, balancing performance and resource consumption

Model Capabilities

Arabic speech recognition
Religious text transcription
Quran audio-to-text conversion

Use Cases

Religious education
Quran learning aid
Automatically convert Quran recitation audio into text for learning assistance
Word error rate of 11.98%
Religious content digitization
Automated transcription of Quran audio content to build searchable text libraries
Linguistic research
Arabic language studies
Analyze linguistic features and pronunciation patterns in Quran recitation
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