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<img src="https://huggingface.co/spaces/Quran-Lab/README/resolve/main/assets/quran-lab-banner.svg" alt="Quran Lab - Quranic ASR infrastructure" width="100%" />

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      <font color="#f8e7b4" size="7"><strong>Quran Lab</strong></font>
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      <font color="#fff8df"><strong>Quranic ASR benchmarks, raw cloud results, and reproducible Arabic speech evaluation.</strong></font>
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<img src="https://huggingface.co/spaces/Quran-Lab/README/resolve/main/assets/quran-lab-wordmark.svg" alt="" width="360" />

[Quranic ASR Benchmark](https://huggingface.co/datasets/Quran-Lab/quranic-asr-benchmark) · [Cloud ASR Raw Data](https://huggingface.co/datasets/Quran-Lab/quranic-asr-cloud-rawdata) · [Leaderboard](https://huggingface.co/spaces/Quran-Lab/quranic-asr-leaderboard)

**600 benchmark clips** · **2.14 hours** · **6 provider runs** · **raw responses, hypotheses, scripts, and scores**

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## Mission

Quran Lab builds high-quality public resources for evaluating and improving ASR on Quranic recitation. Our focus is simple: leakage-free benchmarks, transparent scoring, reproducible artifacts, and practical tools for researchers working on Arabic and Quranic speech.

We care about evaluations that measure generalization rather than memorization, especially on real recitation audio and real-world recording conditions.

## At A Glance

| Focus | Current Work |
| --- | --- |
| Benchmarking | Leakage-free Quranic ASR test set with 600 clips across studio, held-out reciter, and real phone-mic sources. |
| Evaluation | Official WER/CER scorer with Quranic normalization and alef-insensitive reporting. |
| Reproducibility | Published hypotheses, raw cloud responses, score files, scripts, and run notes. |
| Applied ASR | Provider comparisons for Tarteel, Google Chirp 3, ElevenLabs, Deepgram, and Speechmatics. |

## Featured Resources

| Resource | Type | Description |
| --- | --- | --- |
| [quranic-asr-benchmark](https://huggingface.co/datasets/Quran-Lab/quranic-asr-benchmark) | Dataset | 600-clip leakage-free Quranic ASR benchmark with held-out reciters and real phone recordings. |
| [quranic-asr-cloud-rawdata](https://huggingface.co/datasets/Quran-Lab/quranic-asr-cloud-rawdata) | Dataset | Raw cloud/provider ASR outputs, normalized hypotheses, score tables, scripts, and reproducibility artifacts. |
| [quranic-asr-leaderboard](https://huggingface.co/spaces/Quran-Lab/quranic-asr-leaderboard) | Space | Live leaderboard for comparing ASR systems on the same benchmark and scorer. |

## Current Benchmark Snapshot

| System | Overall WER | Notes |
| --- | ---: | --- |
| Tarteel official | 10.99 | Official realtime websocket path |
| Google Chirp 3 sync | 11.92 | Speech-to-Text v2, `chirp_3`, location `us` |
| Google Chirp 3 realtime | 13.56 | StreamingRecognize with realtime pacing |
| ElevenLabs Scribe v2 | 14.05 | Arabic language hint |
| Deepgram nova-3 | 15.79 | Arabic language hint |
| Speechmatics enhanced | 21.06 | Enhanced operating point |

Scores are produced with the official scorer from `quranic-asr-benchmark` and are reported as WER/CER with an additional alef-insensitive metric for Quranic orthography differences.

## What We Value

- Leakage-aware evaluation: held-out reciters and clips absent from training data.
- Reproducibility: raw responses, hypotheses, scripts, and score files are published when possible.
- Responsible data handling: source audio access and redistribution rules are kept with the source benchmark.
- Quranic Arabic focus: scoring and reporting account for Quranic orthography and recitation-specific challenges.

## Repository Layout

| Category | Status |
| --- | --- |
| Public datasets | Benchmark data and cloud ASR outputs are available. |
| Public spaces | Leaderboard is available. |
| Public models | No public models yet. |

## Citation

If you use Quran Lab resources, please cite the specific dataset or Space you used. Dataset cards include citation metadata and usage notes.

## Contact

For benchmark questions, corrections, rights-holder requests, or collaboration ideas, open a discussion on the relevant dataset or Space.