DFADD — Diffusion and Flow-Matching Based Audio Deepfake Dataset

Benchmark-ready packaging of the DFADD test (eval) split (DFADD: The Diffusion and Flow-Matching Based Audio Deepfake Dataset, arXiv 2409.08731), a VCTK-derived dataset targeting the newest generation of high-quality TTS spoofing built on diffusion and flow-matching synthesizers.

Overview

Binary classification: bonafide (genuine VCTK recordings) vs. spoof (text-to-speech generated from VCTK speakers). Label is the top-level source directory. The spoof side spans five modern TTS systems:

Generator	Family	Spoof clips (test)
Grad-TTS	diffusion	600
Matcha-TTS	flow-matching	600
NaturalSpeech 2	latent diffusion	600
PFlow-TTS	flow-matching	600
StyleTTS 2	diffusion (style)	600

The bonafide side is the genuine VCTK audio held out for the test split (755 clips).

License & redistribution

Released under the MIT License (per the upstream DFADD release). Redistribution is permitted with attribution; see LICENSE.txt. The underlying speech derives from the VCTK Corpus (CC BY 4.0) — attribute both DFADD and VCTK. Audio is the original 16 kHz mono FLAC/WAV, embedded bit-exactly (no re-encode — a full decode probe of all test clips passed cleanly).

Schema

Column	Type	Description
path	string	source-relative path, e.g. DATASET_GradTTS/test/p227_001_GradTTS.flac, unique
audio	Audio(16000)	16 kHz mono
label	ClassLabel	"bonafide" (0) / "spoof" (1)
notes	string	JSON: utterance_id, generator, speaker, attack

notes example:

{"utterance_id": "gradtts__p227_001_GradTTS", "generator": "gradtts", "speaker": "p227", "attack": "gradtts"}

utterance_id is <generator>__<filename-stem> — the bare stem repeats across generators (the same VCTK texts are synthesized), so the generator prefix is what makes ids unique. Bonafide ids use the vctk__ prefix.

Quick Start

from datasets import load_dataset

ds = load_dataset("SpeechAntiSpoofingBenchmarks/DFADD", split="test")
print(ds[0])

Stats

Stat	Value
Total trials	3,755
Bonafide (VCTK)	755
Spoof (TTS)	3,000
Generators	Grad-TTS, Matcha-TTS, NaturalSpeech 2, PFlow-TTS, StyleTTS 2 (600 each)
Sample rate	16 kHz mono

Source provenance

• Paper: DFADD: The Diffusion and Flow-Matching Based Audio Deepfake Dataset, arXiv 2409.08731 (https://arxiv.org/abs/2409.08731).
• Underlying speech: the VCTK Corpus (CC BY 4.0).

Evaluation

For evaluation instructions and submission format, see submissions/README.md.

Citation

@article{du2024dfadd,
  title   = {{DFADD: The Diffusion and Flow-Matching Based Audio Deepfake Dataset}},
  author  = {Du, Jiawei and others},
  journal = {arXiv preprint arXiv:2409.08731},
  year    = {2024},
}

Maintainer

Contact: k.n.borodin@mtuci.ru