---
language:
- ar
license: mit
task_categories:
- text-to-speech
- automatic-speech-recognition
tags:
- egyptian-arabic
- synthetic-speech
- tts
- audio
pretty_name: Synthetic Egyptian Speech Dataset
size_categories:
- 1K<n<10K
---

# Synthetic Egyptian Speech Dataset

A curated dataset of **1000 Egyptian Arabic speech samples** — the best audio selected across 4 TTS models for each prompt, with transcription text and quality metadata.

## Dataset Description

Each entry contains:
- **id**: Unique prompt identifier (e.g., `egy_0001`)
- **text**: Egyptian Arabic transcription text
- **audio_path**: Path to the best-selected `.wav` audio file
- **model**: TTS model that produced the best audio (`lahgtna`, `chatterbox_egyptian`, `egtts_v01`, or `habibi`)
- **mcd**: Mel Cepstral Distortion score (spectral similarity to original)

## Selection Criteria

For each prompt, the best model was selected by:
1. **Lowest WER degradation** (among accepted samples)
2. Tiebreak: **highest MOS** → **lowest CER** → **alphabetical**
3. Fallback: **lowest synth WER** (if no accepted entries)

## Model Distribution

| Model | Selected | Accept Rate |
|-------|----------|-------------|
| lahgtna | ~600 | 40.0% |
| chatterbox_egyptian | ~300 | 30.1% |
| egtts_v01 | ~90 | 18.3% |
| habibi | ~10 | 1.0% |

## Source

Generated by the [Egyptian Arabic Synthetic Speech Data Pipeline](https://github.com/Mohamed-Gomaa30/Synthetic-Egy-Speech-Dataset-Pipeline/tree/main) from [MohamedGomaa30/Egyptian-Speech-Audio-Text-1k](https://huggingface.co/datasets/MohamedGomaa30/Egyptian-Speech-Audio-Text-1k).

## Citation

```bibtex
@software{egyptian_tts_pipeline,
  title={Egyptian Arabic Synthetic Speech Data Pipeline},
  author={Mohamed Gomaa Elsafy},
  year={2026},
  url={https://github.com/Mohamed-Gomaa30/Synthetic-Speech-Data-Pipeline}
}
```