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). RealClone_Collection_2023-01-13.rar
Helping models distinguish between human nuances (breath, natural cadence) and the subtle artifacts left by neural vocoders. The file appears to be a specific archive
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. It is recommended to verify the file's hash
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 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.