---
title: ArVoice
canonical_url: "https://www.modelscope.cn/datasets/MBZUAI/ArVoice"
md_url: "https://www.modelscope.cn/datasets/MBZUAI/ArVoice.md"
repository: MBZUAI/ArVoice
last_updated: 2025-11-01
license: cc-by-4.0
storage_size: "31 GB"
downloads: 1374
stars: 0
---

# ArVoice

> ArVoice - MBZUAI 在 ModelScope 开源的数据集。ArVoice: A Multi-Speaker Dataset for Arabic Speech Synthesis Hawau Olamide Toyin, Rufael Marew, Humaid Alblooshi, Samar M. Magdy, Hanan Aldarmaki {hawau.toyin, hanan.aldarmaki}@mbzuai.ac.ae

MBZUAI/ArVoice 是 ModelScope 魔搭社区上的数据集，存储大小 31 GB，采用 cc-by-4.0 许可。

- **Repository**: MBZUAI/ArVoice
- **License**: cc-by-4.0
- **Storage size**: 31 GB
- **Downloads**: 1374
- **Stars**: 0
- **Last updated**: 2025-11-01

Source: https://www.modelscope.cn/datasets/MBZUAI/ArVoice

---

<h2 align="center">
  <b>ArVoice: A Multi-Speaker Dataset for Arabic Speech Synthesis</b>
</h2>
<p align="center"> Hawau Olamide Toyin, Rufael Marew, Humaid Alblooshi, Samar M. Magdy, Hanan Aldarmaki </p>
<p align="center"> {hawau.toyin, hanan.aldarmaki}@mbzuai.ac.ae </p>

<div style="font-size: 16px; text-align: justify;">
    <p>ArVoice is a multi-speaker Modern Standard Arabic (MSA) speech corpus with fully diacritized transcriptions, intended  for multi-speaker speech synthesis, and can be useful for other tasks such as speech-based diacritic restoration, voice conversion, and deepfake detection. <br> 
      ArVoice comprises: (1) professionally recorded audio by 2 male and 2 female voice artists from diacritized transcripts, (2) professionally recorded audio by 1 male and 1 female voice artists from undiacritized transcripts, (3) a modified subset of the
Arabic Speech Corpus, and (4) synthesized speech using commercial TTS systems. The complete corpus consists of a total of 83.52 hours of speech across 11 voices; around 10 hours consist of human voices from 7 speakers. <br> <br>
      <strong> This repo consists of only Parts (3), ASC subset, and (4) synthetic subset </strong>; to access the main subset, part (1,2), which consists of six professional speakers, <a href="https://huggingface.co/datasets/MBZUAI/ArVoice/resolve/main/ArVoice%20DUA.pdf"> please sign this agreement</a> and email it to us. 
      <br><br> If you use the dataset or transcriptions provided in Huggingface, <u>place cite the paper</u>. 
</p>
</div>


Usage Example

```python
df = load_dataset("MBZUAI/ArVoice", "Human_3")  #data_dir options: Human_3, Synthetic,
print(df)

DatasetDict({
    train: Dataset({
        features: ['original_wav', 'normalized_wav', 'speaker_id', 'transcription'],
        num_rows: 907
    })
    test: Dataset({
        features: ['original_wav', 'normalized_wav', 'speaker_id', 'transcription'],
        num_rows: 100
    })
})

```


Data Statistics
| Type      | Part            | Gender     | Speaker Origin | Duration (hrs) | Text Source                  |
|-----------|-----------------|------------|----------------|----------------|------------------------------|
| Human     | ArVoice Part 1  | M          | Egypt          | 1.17           | Tashkeela                    |
|           |                 | F          | Jordan         | 1.45           |                              |
|           |                 | M          | Egypt          | 1.58           |                              |
|           |                 | F          | Morocco        | 1.23           |                              |
|           | ArVoice Part 2  | M          | Palestine      | 0.93           | Khaleej                      |
|           |                 | F          | Egypt          | 0.93           |                              |
|           | ArVoice Part 3  | M          | Syria          | 2.69           | ASC                          |
| Synthetic | ArVoice Part 4  | 2×M, 2×F   | -              | 73.5           | Tashkeela, Khaleej, ASC      |


License: [https://creativecommons.org/licenses/by/4.0/](https://creativecommons.org/licenses/by/4.0/)

### Citation

```
@inproceedings{toyin25_interspeech,
  title     = {{ArVoice: A Multi-Speaker Dataset for Arabic Speech Synthesis}},
  author    = {Hawau Toyin and Rufael Marew and Humaid Alblooshi and Samar M. Magdy and Hanan Aldarmaki},
  year      = {2025},
  booktitle = {{Interspeech 2025}},
  pages     = {4808--4812},
  doi       = {10.21437/Interspeech.2025-1550},
  issn      = {2958-1796},
}
```