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Used by cybersecurity firms to simulate "voice phishing" (vishing) scenarios to train defense systems. Technical Considerations

Helping models distinguish between human nuances (breath, natural cadence) and the subtle artifacts left by neural vocoders. RealClone_Collection_2023-01-13.rar

The file appears to be a specific archive associated with datasets used in machine learning (ML) , specifically for training or evaluating voice cloning and synthetic speech detection models. Used by cybersecurity firms to simulate "voice phishing"

The .rar extension indicates a compressed volume, likely containing .wav or .flac audio files organized by speaker ID and "real/fake" labels. Due to the nature of "Deepfake" data, these

The dataset is primarily used to test the accuracy of synthetic speech detectors.

Matching "Fake" samples generated using various Text-to-Speech (TTS) and Voice Conversion (VC) architectures (e.g., ElevenLabs, Tortoise-TTS, or YourTTS).

Due to the nature of "Deepfake" data, these collections are often hosted on research repositories (like Zenodo, Hugging Face, or GitHub) and should be used strictly for ethical AI research. Security Note

RealClone_Collection_2023-01-13.rar

Realclone_collection_2023-01-13.rar Instant

RealClone_Collection_2023-01-13.rar
RealClone_Collection_2023-01-13.rar
RealClone_Collection_2023-01-13.rar RealClone_Collection_2023-01-13.rar

Realclone_collection_2023-01-13.rar Instant