CompSpoof Dataset

The CompSpoof dataset is designed for studying component-level anti-spoofing, where either the speech or the environmental sound component (or both) may be spoofed.

📄 Paper on arXiv

🖥️ Code on github

📥 Download

You can download the dataset on hugging face:
🤗 CompSpoof Download Link

🎧 Audio Examples

Below are audio samples from the CompSpoof dataset. For each class, we provide the mixed/original audio, along with the speech and environment sources.

Class 0 — Original

Label: original

Description: Original bona fide speech and corresponding environment audio without mixing

Original

Class 1 — Bona fide + Bona fide

Label: bonafide_bonafide

Description: Bona fide speech mixed with another bona fide environmental audio

Mixed	Speech	Environment

Class 2 — Spoofed Speech + Bona fide Environment

Label: spoof_bonafide

Description: Spoof speech mixed with bona fide environmental audio

Mixed	Speech	Environment

Class 3 — Bona fide Speech + Spoofed Environment

Label: bonafide_spoof

Description: Bona fide speech mixed with spoof environmental audio

Mixed	Speech	Environment

Class 4 — Spoofed Speech + Spoofed Environment

Label: spoof_spoof

Description: Spoof speech mixed with spoof environmental audio

Mixed	Speech	Environment

📂 Dataset Overview

Total samples: 2,500
Classes: 5 (500 samples per class)
Duration: 5–21 seconds
Sampling rate: 16 kHz
Partitioning: 70% train, 10% dev, 20% eval (stratified to preserve class balance)

ID	Mixed	Speech	Environment	Class Label	Description
0	❌	Bona fide	Bona fide	original	Original bona fide speech and corresponding environment audio without mixing
1	✅	Bona fide	Bona fide	bonafide_bonafide	Bona fide speech mixed with another bona fide environmental audio
2	✅	Spoofed	Bona fide	spoof_bonafide	Spoof speech mixed with bona fide environmental audio
3	✅	Bona fide	Spoofed	bonafide_spoof	Bona fide speech mixed with spoof environmental audio
4	✅	Spoofed	Spoofed	spoof_spoof	Spoof speech mixed with spoof environmental audio

🗂️ Metadata

The dataset includes three metadata files: CompSpoof_train.txt, CompSpoof_dev.txt, and CompSpoof_eval.txt.

Each line has four fields:

mixed_audio   speech_source   env_source   class_label

🎧 Data Sources

Bona fide speech: ASVspoof5, CommonVoice
Spoofed speech: ASVspoof5, SSTC
Bona fide environmental sounds: VGGSound
Spoofed environmental sounds: VCapAV
Original mixed audio: VGGSound (speech + environment simultaneously captured)

Environmental sounds cover indoor, street, and natural settings, ensuring acoustic diversity.

During processing:

All files are resampled to 16 kHz.
The shorter signal determines the final duration, with longer ones truncated.
Environmental sound is scaled to a predefined SNR relative to the speech.

🔖 Citation

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

@misc{zhang2025compspoofdatasetjointlearning,
      title={CompSpoof: A Dataset and Joint Learning Framework for Component-Level Audio Anti-spoofing Countermeasures}, 
      author={Xueping Zhang and Liwei Jin and Yechen Wang and Linxi Li and Ming Li},
      year={2025},
      eprint={2509.15804},
      archivePrefix={arXiv},
      primaryClass={cs.SD},
      url={https://arxiv.org/abs/2509.15804}, 
}