# 4TTSDeepfakeDataset
## Description
Based on the [Hi-Fi Multi-Speaker English TTS Dataset](https://www.openslr.org/109/), this dataset includes 148.06 hours and 75,575 utterances of 24kHz Mono 16-bit audio. It uses the utterances of speakers 6097, 6670, 6671, and 9017 from the original corpus.
For each original bona fide utterance, there are 4 corresponding deepfake zero-shot 1:1 utterances generated by the following models (15,115 utterances each):
* [F5-TTSv1](https://huggingface.co/SWivid/F5-TTS)
* [MaskGCT](https://huggingface.co/amphion/MaskGCT)
* [CosyVoice2](https://huggingface.co/FunAudioLLM/CosyVoice2-0.5B)
* [Fish-S1mini](https://huggingface.co/fishaudio/s1-mini)
## Dataset Structure
The dataset includes 5 folders with utterances and a `parallel_manifest.json` file that provides the 1:4 (bona fide to TTS deepfakes) mapping.
### Recordings per TTS System/Speaker
| Speaker ID | Parallel Utterances | Bona Fide (hrs) | MaskGCT (hrs) | F5-TTSv1 (hrs) | Fish-S1mini (hrs…
