Realclone_collection_2023-01-13.rar -

This collection is a curated dataset released in early 2023, designed to address the "Real-vs-Fake" classification problem in audio forensics. As AI-generated voices (Deepfakes) became more sophisticated, researchers required "RealClone" sets—which pair authentic human speech with high-quality AI clones of those same individuals—to develop more robust detection algorithms.

Matching "Fake" samples generated using various Text-to-Speech (TTS) and Voice Conversion (VC) architectures (e.g., ElevenLabs, Tortoise-TTS, or YourTTS). RealClone_Collection_2023-01-13.rar

The .rar extension indicates a compressed volume, likely containing .wav or .flac audio files organized by speaker ID and "real/fake" labels. This collection is a curated dataset released in

This specific versioning indicates the inclusion of state-of-the-art cloning techniques available up to late 2022. Purpose and Use Cases Used by cybersecurity firms to simulate "voice phishing"

Below is a technical write-up summarizing the likely nature and context of this collection based on common nomenclature in AI research.

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

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