pretty_name: QuadVoxBench
language:
- en
- zh
license: mit
tags:
- audio
- deepfake-detection
- anti-spoofing
size_categories:
- 100K<n<1M
task_categories:
- audio-classification
- voice-activity-detection
QuadVoxBench: A Large-Scale Fine-Grained Benchmark for Robust Audio Deepfake Detection
Dataset Description
QuadVoxBench is a large-scale (392+ hours) audio benchmark dataset designed for the robust evaluation of deepfake detection systems. It is structured around four key aspects of audio variation: Speech Style, Emotional Prosody, Acoustic Environment, and Manipulation Type. The dataset features a diverse collection of real and synthetically generated audio in English and Chinese, created using a comprehensive toolkit of modern text-to-speech (TTS) and voice conversion (VC) models.
For more details, please refer to our main repository:
Dataset Structure
The dataset is organized into 11 subsets, each corresponding to a specific domain or speech characteristic. Each subset contains real and fake audio samples, along with metadata.
├── Audiobook/
│ ├── audio/
│ │ ├── real/
│ │ └── fake/
│ └── meta_test.json
├── Emotional/
│ ├── audio/
│ │ ├── real/
│ │ └── fake/
│ └── meta_test.json
├── Interview/
│ ├── audio/
│ │ ├── real/
│ │ └── fake/
│ └── meta_test.json
├── Movie/
│ ├── audio/
│ │ ├── real/
│ │ └── fake/
│ └── meta_test.json
├── News/
│ ├── audio/
│ │ ├── real/
│ │ └── fake/
│ └── meta_test.json
├── NoisySpeech/
│ ├── audio/
│ │ ├── real/
│ │ └── fake/
│ └── meta_test.json
├── PartialFake/
│ ├── audio/
│ │ ├── real/
│ │ └── fake/
│ └── meta.json
├── PhoneCall/
│ ├── en/
│ │ ├── audio/
│ │ │ ├── real/
│ │ │ └── fake/
│ │ └── meta_test.json
│ └── zh-cn/
│ ├── audio/
│ │ ├── real/
│ │ └── fake/
│ └── meta_test.json
├── Podcast/
│ ├── audio/
│ │ ├── real/
│ │ └── fake/
│ └── meta_test.json
├── PublicFigure/
│ ├── audio/
│ │ ├── real/
│ │ └── fake/
│ └── meta_test.json
└── PublicSpeech/
├── audio/
│ ├── real/
│ └── fake/
└── meta_test.json
Citation
If you use QuadVoxBench in your research, please cite:
@inproceedings{quadvox2026,
title={QuadVox: A Large-Scale Fine-Grained Benchmark with Relative Audio Proximity Test for Robust Audio Deepfake Detection},
author={Ruiming Wang, et al.},
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
year={2026}
}