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Quran Whisper Base Fine Tune
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Quran Whisper Base Fine Tune

Developed by Baselhany
This model is a fine-tuned Arabic speech recognition model based on openai/whisper-base on the quran-ayat-speech-to-text dataset, specializing in the task of converting Quranic verses from speech to text.
Speech Recognition
Transformers
 ArabicOpen Source License:Apache-2.0#Arabic speech recognition#Quran audio transcription#Low word error rate
Downloads 35
Release Time : 2/11/2025

Model Overview

Whisper base AR - BH is an optimized model for Arabic speech recognition, particularly suitable for Quranic verse transcription tasks. It significantly improves the accuracy of Arabic speech recognition after fine-tuning.

Model Features

High-precision Arabic recognition
Optimized for Arabic, especially Quranic verses, with a word error rate (WER) of 17.83% and a character error rate (CER) of 5.36%.
Based on Whisper architecture
Built on the OpenAI Whisper-base model, inheriting its excellent speech recognition capabilities.
Domain-specific optimization
Fine-tuned on the quran-ayat-speech-to-text dataset, making it particularly suitable for religious text transcription.

Model Capabilities

Arabic speech recognition
Religious text transcription
Real-time speech-to-text

Use Cases

Religious applications
Quran learning aid
Helps learners query Quranic verses through voice input
Highly accurate verse transcription
Religious content creation
Automatically transcribes religious speeches and lectures into text
Educational applications
Arabic learning tool
Helps learners practice Arabic pronunciation and listening
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