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.
βββ Audiobook/
β βββ audio/
β β βββ real/
β β βββ fake/
β βββ meta_test.json
βββ Emotional/
β βββ audio/
β β βββ real/
β β βββ fake/
β βββ meta_test.json
βββ Interview/
β βββ audio/
β β βββ real/
β β βββ fake/
β βββ meta_test.json
βββ Movie/
β βββ audio/
β β βββ real/
β β βββ fake/
β βββ meta_test.json
βββ News/
β βββ audio/
β β βββ real/
β β βββ fake/
β βββ meta_test.json
βββ NoisySpeech/
β βββ audio/
β β βββ real/
β β βββ fake/
β βββ meta_test.json
βββ PartialFake/
β βββ audio/
β β βββ real/
β β βββ fake/
β βββ meta.json
βββ PhoneCall/
β βββ en/
β β βββ audio/
β β β βββ real/
β β β βββ fake/
β β βββ meta_test.json
β βββ zh-cn/
β βββ audio/
β β βββ real/
β β βββ fake/
β βββ meta_test.json
βββ Podcast/
β βββ audio/
β β βββ real/
β β βββ fake/
β βββ meta_test.json
βββ PublicFigure/
β βββ audio/
β β βββ real/
β β βββ fake/
β βββ meta_test.json
βββ PublicSpeech/
βββ audio/
β βββ real/
β βββ fake/
βββ 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}
}
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