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.

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

Helping models distinguish between human nuances (breath, natural cadence) and the subtle artifacts left by neural vocoders. This collection is a curated dataset released in

The dataset is primarily used to test the accuracy of synthetic speech detectors. RAR archives can be used to distribute or

If you encountered this file on an unverified third-party site or peer-to-peer network, exercise caution. RAR archives can be used to distribute or info-stealers disguised as popular research datasets. It is recommended to verify the file's hash against official research papers if you intend to use it for development.

This specific versioning indicates the inclusion of state-of-the-art cloning techniques available up to late 2022. Purpose and Use Cases

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