This model is a fine-tuned version of
openai/whisper-small, specialized in transcribing Arabic audio with a focus on Quranic recitation from the
Amma Juz dataset. This fine-tuning makes the model highly effective for tasks involving accurate recognition of Arabic speech, especially in religious and Quranic contexts.
Whisper Small is a transformer-based model for automatic speech recognition (ASR), developed by OpenAI. By fine-tuning it on the Amma Juz dataset, this version achieves state-of-the-art results on transcribing Quranic recitations with minimal word error rates and high accuracy. The fine-tuned model retains the original capabilities of the Whisper architecture while being optimized for Arabic Quranic text.
These metrics demonstrate the model's efficiency and accuracy when processing Quranic recitations.
