Diffuse or Confuse: A Diffusion Deepfake Speech Dataset
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Abstract (arXiv)
Advancements in artificial intelligence and machine learning have significantly improved synthetic speech generation. This paper explores diffusion models, a novel method for creating realistic synthetic speech. We create a diffusion dataset using available tools and pretrained models. Additionally, this study assesses the quality of diffusion-generated deepfakes versus non-diffusion ones and their potential threat to current deepfake detection systems. Findings indicate that the detection of diffusion-based deepfakes is generally comparable to non-diffusion deepfakes, with some variability based on detector architecture. Re-vocoding with diffusion vocoders shows minimal impact, and the overall speech quality is comparable to non-diffusion methods.
Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). Builds on 18 of its 25 references that are in the map. First posted on arXiv 9 Oct 2024.
Builds on
18 of 25 references.
References · 18
- 2020Denoising Diffusion Probabilistic Modelscited by 21,076
- 2020DiffWave: A Versatile Diffusion Model for Audio Synthesiscited by 1,354
- 2017Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictionscited by 804
- 2020WaveGrad: Estimating Gradients for Waveform Generationcited by 622
- 2021Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speechcited by 561
- 2021Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speechcited by 447
- 2018Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesiscited by 282
- 2020Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Searchcited by 273
- 2021DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanismcited by 154
- 2020FastPitch: Parallel Text-to-speech with Pitch Predictioncited by 151
- 2022ProDiff: Progressive Fast Diffusion Model For High-Quality Text-to-Speechcited by 149
- 2022Automatic speaker verification spoofing and deepfake detection using wav2vec 2.0 and data augmentationcited by 117
6 more
- 2023A Survey on Audio Diffusion Models: Text To Speech Synthesis and Enhancement in Generative AIcited by 68
- 2021WaveGrad 2: Iterative Refinement for Text-to-Speech Synthesiscited by 65
- 2022BDDM: Bilateral Denoising Diffusion Models for Fast and High-Quality Speech Synthesiscited by 64
- 2021A Comparative Study on Recent Neural Spoofing Countermeasures for Synthetic Speech Detectioncited by 56
- 2019Location-Relative Attention Mechanisms For Robust Long-Form Speech Synthesiscited by 44
- 2022DiffGAN-TTS: High-Fidelity and Efficient Text-to-Speech with Denoising Diffusion GANscited by 43
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Citing papers per year: 2025: 3; 2026: 5.
8 papers.
- 2025STOPA: A Database of Systematic VariaTion Of DeePfake Audio for Open-Set Source Tracing and Attributioncited by 6
- 2025SCDF: A Speaker Characteristics DeepFake Speech Dataset for Bias Analysiscited by 6
- 2025AUDDT: A Unified Benchmark Toolkit for Audio and Speech Deepfake Detectorscited by 2
- 2026Alethia: A Foundational Encoder for Voice Deepfakescited by 1
- 2026Ethical and Technical Limits of Deepfake Speech Datasetscited by 1
- 2026LJ-Spoof: A Generatively Varied Corpus for Audio Anti-Spoofing and Synthesis Source Tracingcited by 0
- 2026RAT: Reference-Augmented Training for ASV Anti-Spoofingcited by 0
- 2026What Do Deepfake Speech Detectors Actually Hear?cited by 0
- 2026What Do Deepfake Speech Detectors Actually Hear?9 Jun 2026
- 2026Ethical and Technical Limits of Deepfake Speech Datasets9 Jun 2026
- 2026RAT: Reference-Augmented Training for ASV Anti-Spoofing9 Jun 2026
- 2026Alethia: A Foundational Encoder for Voice Deepfakes30 Apr 2026
- 2026LJ-Spoof: A Generatively Varied Corpus for Audio Anti-Spoofing and Synthesis Source Tracing12 Jan 2026
- 2025AUDDT: A Unified Benchmark Toolkit for Audio and Speech Deepfake Detectors25 Sep 2025
- 2025SCDF: A Speaker Characteristics DeepFake Speech Dataset for Bias Analysis11 Aug 2025
- 2025STOPA: A Database of Systematic VariaTion Of DeePfake Audio for Open-Set Source Tracing and Attribution26 May 2025
Similar, not cited
Close in wording, no citation either way
- 2025A Data-Driven Diffusion-based Approach for Audio Deepfake Explanations
- 2023DiffAR: Denoising Diffusion Autoregressive Model for Raw Speech Waveform Generation
- 2025On the Design of Diffusion-based Neural Speech Codecs
- 2025AUDETER: A Large-scale Dataset for Deepfake Audio Detection in Open Worlds
- 2024DFADD: The Diffusion and Flow-Matching Based Audio Deepfake Dataset
- 2023From Discrete Tokens to High-Fidelity Audio Using Multi-Band Diffusion
- 2023Boosting Fast and High-Quality Speech Synthesis with Linear Diffusion
- 2024FastVoiceGrad: One-step Diffusion-Based Voice Conversion with Adversarial Conditional Diffusion Distillation