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The dataset is released under [CC BY-NC
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must comply with the license terms. The authors do **not** claim ownership of
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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.
Spoofed Audio Data Sources
Our new dataset, MultiAPI Spoof, contains speech samples generated from a variety of API sources, including:
- Commercial TTS APIs – speech generated by commercial services.
- Open-Source Model Generation – speech generated by open-source models.
- 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
📖 Citation
If you use this code or dataset, please cite:
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🔏 License
The dataset is released under CC BY-NC 4.0 license. Users must comply with the license terms. The authors do not claim ownership of the original audio content.