AUDETER / README.md
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title: >-
  Dataset for AUDETER: A Large-scale Dataset for Deepfake Audio Detection in
  Open Worlds
configs:
  - config_name: mls-tts-bark
    data_files:
      - split: dev
        path: mls/tts/bark/dev/*.tar
      - split: test
        path: mls/tts/bark/test/*.tar
  - config_name: mls-tts-chattts
    data_files:
      - split: dev
        path: mls/tts/chattts/dev/*.tar
      - split: test
        path: mls/tts/chattts/test/*.tar
  - config_name: mls-tts-cosyvoice
    data_files:
      - split: dev
        path: mls/tts/cosyvoice/dev/*.tar
      - split: test
        path: mls/tts/cosyvoice/test/*.tar
  - config_name: mls-tts-f5_tts
    data_files:
      - split: dev
        path: mls/tts/f5_tts/dev/*.tar
      - split: test
        path: mls/tts/f5_tts/test/*.tar
  - config_name: mls-tts-fish_speech
    data_files:
      - split: dev
        path: mls/tts/fish_speech/dev/*.tar
      - split: test
        path: mls/tts/fish_speech/test/*.tar
  - config_name: mls-tts-sparktts
    data_files:
      - split: dev
        path: mls/tts/sparktts/dev/*.tar
      - split: test
        path: mls/tts/sparktts/test/*.tar
  - config_name: mls-tts-vits
    data_files:
      - split: dev
        path: mls/tts/vits/dev/*.tar
      - split: test
        path: mls/tts/vits/test/*.tar
  - config_name: mls-tts-xtts
    data_files:
      - split: dev
        path: mls/tts/xtts/dev/*.tar
      - split: test
        path: mls/tts/xtts/test/*.tar
  - config_name: mls-tts-yourtts
    data_files:
      - split: dev
        path: mls/tts/yourtts/dev/*.tar
      - split: test
        path: mls/tts/yourtts/test/*.tar
  - config_name: mls-tts-zonos
    data_files:
      - split: dev
        path: mls/tts/zonos/dev/*.tar
      - split: test
        path: mls/tts/zonos/test/*.tar
  - config_name: mls-vocoders-bigvgan
    data_files:
      - split: dev
        path: mls/vocoders/bigvgan/dev/*.tar
      - split: test
        path: mls/vocoders/bigvgan/test/*.tar
  - config_name: mls-vocoders-vocos
    data_files:
      - split: dev
        path: mls/vocoders/vocos/dev/*.tar
      - split: test
        path: mls/vocoders/vocos/test/*.tar
  - config_name: mls-vocoders-bigvsan
    data_files:
      - split: dev
        path: mls/vocoders/bigvsan/dev/*.tar
      - split: test
        path: mls/vocoders/bigvsan/test/*.tar
  - config_name: mls-vocoders-univnet
    data_files:
      - split: dev
        path: mls/vocoders/univnet/dev/*.tar
      - split: test
        path: mls/vocoders/univnet/test/*.tar
  - config_name: mls-vocoders-hifigan
    data_files:
      - split: dev
        path: mls/vocoders/hifigan/dev/*.tar
      - split: test
        path: mls/vocoders/hifigan/test/*.tar
  - config_name: mls-vocoders-melgan
    data_files:
      - split: dev
        path: mls/vocoders/melgan/dev/*.tar
      - split: test
        path: mls/vocoders/melgan/test/*.tar
  - config_name: mls-vocoders-multi_band_melgan
    data_files:
      - split: dev
        path: mls/vocoders/multi_band_melgan/dev/*.tar
      - split: test
        path: mls/vocoders/multi_band_melgan/test/*.tar
  - config_name: mls-vocoders-full_band_melgan
    data_files:
      - split: dev
        path: mls/vocoders/full_band_melgan/dev/*.tar
      - split: test
        path: mls/vocoders/full_band_melgan/test/*.tar
  - config_name: mls-vocoders-style_melgan
    data_files:
      - split: dev
        path: mls/vocoders/style_melgan/dev/*.tar
      - split: test
        path: mls/vocoders/style_melgan/test/*.tar
  - config_name: mls-vocoders-parallel_wavegan
    data_files:
      - split: dev
        path: mls/vocoders/parallel_wavegan/dev/*.tar
      - split: test
        path: mls/vocoders/parallel_wavegan/test/*.tar
viewer: true

Dataset for AUDETER: A Large-scale Dataset for Deepfake Audio Detection in Open Worlds

Dataset Description

We introduce AUDETER (AUdio DEepfake TEst Range), a large-scale, highly diverse deepfake audio dataset for comprehensive evaluation and robust development of generalised models for deepfake audio detection. It consists of over 4,500 hours of synthetic audio generated by 11 recent TTS models and 10 vocoders with a broad range of TTS/vocoder patterns, totalling 3 million audio clips.

Please refer to our GitHub repository for more information.

Dataset Structure

The dataset is organized into four main corpus collections:

├── common_voice/          # Common Voice corpus
│   ├── tts/              # TTS models
│   │   ├── bark/
│   │   ├── chattts/
│   │   ├── cosyvoice/
│   │   ├── f5_tts/
│   │   ├── fish_speech/
│   │   ├── openvoice/
│   │   ├── sparktts/
│   │   ├── vits/
│   │   ├── xtts/
│   │   ├── yourtts/
│   │   └── zonos/
│   └── vocoders/         # Vocoders
│       ├── bigvgan/
│       ├── bigvsan/
│       ├── full_band_melgan/
│       ├── hifigan/
│       ├── melgan/
│       ├── multi_band_melgan/
│       ├── parallel_wavegan/
│       ├── style_melgan/
│       ├── univnet/
│       └── vocos/
├── in-the-wild/          # In-the-wild corpus
│   ├── tts/              # TTS models
│   └── vocoders/         # Vocoders
├── mls/                  # Multilingual LibriSpeech corpus
│   ├── tts/              # TTS models
│   └── vocoders/         # Vocoders
└── peoples_speech/       # People's Speech corpus
    ├── tts/              # TTS models
    └── vocoders/         # Vocoders