UniDataPro/real-vs-fake-human-voice-deepfake-audio

Deepfake Audio Dataset

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.

By utilizing this dataset, researchers and developers can advance the training of accurate detection models for critical applications such as mobile authentication, identity verification services, journalism verification, and monitoring social media - Get the data

Researchers can utilize this dataset to explore detection technology and recognition algorithms that aim to prevent impostor attacks and improve audio-based authentication processes.

💵 Buy the Dataset: This is a limited preview of the data. To access the full dataset, please contact us at https://unidata.pro to discuss your requirements and pricing options.

Dataset provides a robust foundation for achieving higher detection accuracy and advancing audio deepfake detection methods, which are essential for preventing identity fraud and ensuring reliable biometric verification.

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