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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**.
***
## 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) |