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ud-nlp/real-vs-fake-human-voice-deepfake-audio

Deepfake Audio Dataset - 5,000 Audio Dataset contains 5,000 audio files, comprising both authentic human recordings and synthetic** AI-generated voice** samples. It designed for advanced research in deepfake detection, focusing on detecting fake voices and generated speech analysis. Specifically engineered to challenge voice authentication systems, it supports the development of robust models for real vs fake human voice recognition. - Get the data Dataset… See the full description on the dataset page: https://huggingface.co/datasets/ud-nlp/real-vs-fake-human-voice-deepfake-audio.

sourceHugging Facecc-by-nc-nd-4.0updated 11mo agoView on Hugging Face
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Deepfake Audio Dataset - 5,000 Audio

Dataset contains 5,000 audio files, comprising both authentic human recordings and synthetic AI-generated voice samples. It designed for advanced research in deepfake detection, focusing on detecting fake voices and generated speech analysis. Specifically engineered to challenge voice authentication systems, it supports the development of robust models for real vs fake human voice recognition. - [Get the data](https://unidata.pro/datasets/real-vs-fake-human-voice-deepfake-audio/?utm_source=huggingface-nlp&utm_medium=referral&utm_campaign=real-vs-fake-human-voice-deepfake-audio)

Dataset characteristics:

CharacteristicData
DescriptionAudio for deepfake voice detection, containing genuine human speech recordings paired with multiple matching synthetic copies
Data typesAudio
TasksAudio Deepfake Detection, Voice Analysis
Total number of files5,000
Number of files in a set4 speakers × 5 clips × 4 audio files (1 original + 3 synthetic)
LabelingMetadata (country, gender, ID, age, audio group, audio name, audio text)
GenderMale, Female

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Dataset structure

  • —UK - UK audio file
  • —USA - USA audio file
  • —datasetvoicechanging_metainfo.csv - metadata for the data

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