---

license: mit
task_categories:
- text-to-speech
language:
- ar
tags:
- text2speech;
- TTS;
- Arabic
pretty_name: STYLETTS2_ARABIC
size_categories:
- 1K<n<10K
---


# Arabic TTS WAV 24k Dataset

A high-quality, open-source dataset for Arabic Text-to-Speech (TTS) research, containing paired audio and text samples from both male and female speakers. All audio is provided in 24kHz WAV format, with rich metadata and phonetic transcriptions.

## Dataset Summary

This dataset is designed for training and evaluating neural TTS systems in Modern Standard Arabic. It includes:

- Audio: Clean, studio-quality WAV files at 24,000 Hz.
- Text: Original Arabic text and phonetic (IPA) transcriptions.
- Speakers: Both male and female voices, with gender labels.
- Splits: Predefined train and test splits.
- Metadata: Duration, sampling rate, file name, and source information for each sample.

## Dataset Structure

Each sample contains:
- `text`: The original Arabic sentence.
- `phonetic_text`: IPA or phoneme transcription.
- `audio`: Path to the 24kHz WAV file.
- `file`: Unique file identifier.
- `gender`: male or female.
- `sampling_rate`: Always 24000.
- `duration`: Duration of the audio in seconds.
- `source`: Original dataset source.

The dataset is provided as a Hugging Face DatasetDict with "train" and "test" splits.

## Split and Gender Statistics

| Split | Gender | Files | Duration (hrs) |
|-------|--------|-------|----------------|
| train | male | 5963 | 7.00 |
| train | female | 2593 | 5.29 |
| test | male | 204 | 0.24 |
| test | female | 81 | 0.17 |


## Usage

```python
from datasets import load_dataset

dataset = load_dataset("NeoBoy/arabic-tts-wav-24k")
print(dataset)
print(dataset["train"][0])
```

## Citation

If you use this dataset in your research, please cite the original sources:

- Nourhann/Arabic-Diacritized-TTS: https://huggingface.co/datasets/Nourhann/Arabic-Diacritized-TTS
- MBZUAI/ClArTTS: https://huggingface.co/datasets/MBZUAI/ClArTTS

And this dataset:

```bibtex
@misc{arabictts24k,
  title={Arabic TTS WAV 24k Dataset},
  author={Sharjeel Abid Butt},
  year={2025},
  howpublished={https://huggingface.co/datasets/NeoBoy/arabic-tts-wav-24k}
}

## License

This dataset is distributed for research purposes only. Please refer to the licenses of the original datasets for usage restrictions.

## Contact

For questions or contributions, please open an issue or contact me on github.com/NeoBoy .