| language: ar | |
| license: apache-2.0 | |
| tags: | |
| - automatic-speech-recognition | |
| - whisper | |
| - quran | |
| - warsh | |
| - arabic | |
| - tajweed | |
| - tahkik | |
| datasets: | |
| - benhadjermed/warsh_quran_aligned | |
| base_model: tarteel-ai/whisper-base-ar-quran | |
| metrics: | |
| - wer | |
| pipeline_tag: automatic-speech-recognition | |
| # Tahkik — Warsh Quran ASR | |
| Fine-tuned from [`tarteel-ai/whisper-base-ar-quran`](https://huggingface.co/tarteel-ai/whisper-base-ar-quran) | |
| on [`benhadjermed/warsh_quran_aligned`](https://huggingface.co/datasets/benhadjermed/warsh_quran_aligned). | |
| ## Usage | |
| ```python | |
| from transformers import pipeline | |
| asr = pipeline("automatic-speech-recognition", model="benhadjermed/tahkik-basic-warsh") | |
| print(asr("your_warsh_recitation.wav")["text"]) | |
| ``` | |
| ## Training | |
| - Base model: `tarteel-ai/whisper-base-ar-quran` | |
| - Steps: 3000 | LR: 1e-05 | Effective batch: 32 | |
| - Test WER: 0.2579 | |