Realclone_collection_2023-01-13.rar

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

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. RealClone_Collection_2023-01-13.rar

Typically contains "Real" audio samples from diverse speakers (often sourced from public datasets like LibriSpeech or VCTK). The dataset is primarily used to test the

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

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

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