---
license: cc-by-nc-4.0
---
# MultiAPI Spoof: Multi-Source Audio Anti-Spoofing Dataset

## Introduction

MultiAPI-Spoof is a multi-source audio anti-spoofing dataset that contains approximately 230 hours of spoofed audio. It includes synthetic audio generated by commercial TTS services, open-source models, and Chinese TTS websites. An equal amount of bonafide speech from CommonVoice is included for a 1:1 balance between genuine and spoofed samples. This dataset is designed to support research and model training for audio anti-spoofing.

- 📥 [Download dataset](https://ofspectrum.com/api/download) or [Download on huggingface](https://huggingface.co/datasets/XuepingZhang/MultiAPI_Spoof)
- 📄 [Paper on arXiv](https://arxiv.org/abs/2512.07352)
- 🖥️ [Code on github](https://github.com/XuepingZhang/MultiAPI-Spoof)


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## Spoofed Audio Data Sources

Our new dataset, **MultiAPI Spoof**, contains speech samples generated from a variety of API sources, including:

1. **Commercial TTS APIs** – speech generated by commercial services.
2. **Open-Source Model Generation** – speech generated by open-source models.
3. **TTS Websites** – speech on TTS web platforms.

The dataset is organized into 30 API, labeled **A0–A29**, with each group corresponding to a unique speech generation API source. The duration of speech in each API ranges from **0.2 to 12 hours**.

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## Dataset Split

| API NO. | train | dev  | eval |
| :------ | :---- | :--- | ---- |
| A0-A20  | 70%   | 10%  | 20%  |
| A21-A23 | /     | 100% | /    |
| A24-A29 | /     | /    | 100% |

***

## Metadata

The dataset includes three metadata files: MultiAPI`_train.txt`, MultiAPI`_dev.txt`, and MultiAPI`_eval.txt`.

Each line has four fields:

    audio_path     api     class_label
    XXX.mp3        A0      spoofed
    XXX.mp3        -       bonafide
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## 📖 Citation

If you use this code or dataset, please cite:

```
@misc{zhang2025multiapispoofmultiapidataset,
      title={MultiAPI Spoof: A Multi-API Dataset and Local-Attention Network for Speech Anti-spoofing Detection}, 
      author={Xueping Zhang and Zhenshan Zhang and Yechen Wang and Linxi Li and Liwei Jin and Ming Li},
      year={2025},
      eprint={2512.07352},
      archivePrefix={arXiv},
      primaryClass={cs.SD},
      url={https://arxiv.org/abs/2512.07352}, 
}
```

## 🔏 License
 The dataset is released under [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/deed.en) license.
 Users must comply with the license terms. The authors do **not** claim ownership of the original audio content.
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## Contact

For questions or suggestions, please contact: [zxp9921@gmail.com](zxp9921@gmail.com)