Datasets:
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README.md
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- synthetic-speech
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- voice-cloning
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- deepfake-detection
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- synthetic-speech
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- voice-cloning
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- deepfake-detection
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# 4TTSDeepfakeDataset
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## Description
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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.
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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):
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* [F5-TTSv1](https://huggingface.co/SWivid/F5-TTS)
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* [MaskGCT](https://huggingface.co/amphion/MaskGCT)
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* [CosyVoice2](https://huggingface.co/FunAudioLLM/CosyVoice2-0.5B)
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* [Fish-S1mini](https://huggingface.co/fishaudio/s1-mini)
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## Dataset Structure
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The dataset includes 5 folders with utterances and a `parallel_manifest.json` file that provides the 1:4 (bona fide to TTS deepfakes) mapping.
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### Recordings per TTS System/Speaker
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| Speaker ID | Parallel Utterances | Bona Fide (hrs) | MaskGCT (hrs) | F5-TTSv1 (hrs) | Fish-S1mini (hrs) | CosyVoice2 (hrs) |
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| :--------------- | :-----------------: | :-------------: | :-----------: | :------------: | :---------------: | :--------------: |
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| **6097** | 3,500 | 6.98 | 7.00 | 6.85 | 6.83 | 7.11 |
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| **6670** | 3,556 | 7.18 | 7.19 | 7.07 | 6.97 | 7.56 |
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| **6671** | 4,538 | 9.02 | 8.93 | 8.74 | 8.57 | 9.11 |
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| **9017** | 3,521 | 6.63 | 6.66 | 6.55 | 6.38 | 6.73 |
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| **Total Corpus** | **15,115** | **29.82** | **29.77** | **29.20** | **28.76** | **30.51** |
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## Acknowledgements and Attribution
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### Original Audio Data
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This dataset is a derivative work based on the [Hi-Fi Multi-Speaker English TTS Dataset](https://www.openslr.org/109/) created by E. Bakhturina, V. Lavrukhin, B. Ginsburg, and Y. Zhang. The original dataset is licensed under a [Creative Commons Attribution 4.0 International License (CC BY 4.0)](https://creativecommons.org/licenses/by/4.0/).
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**Modifications to the Original Material:** 1. The original bona fide audio files from speakers 6097, 6670, 6671, and 9017 were modified (sliced and merged) to create the parallel baseline utterances.
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2. These preprocessed bona fide files were then used as the source material to generate 1:1 synthetic speech (deepfakes).
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### Synthetic Data Generation (Deepfakes)
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The synthetic deepfake utterances in this dataset were generated using the following open-source Text-to-Speech models. The generated audio inherits the licensing terms of their respective source models:
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* **[F5-TTSv1](https://huggingface.co/SWivid/F5-TTS)** by SWivid (Licensed under CC BY-NC 4.0)
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* **[MaskGCT](https://huggingface.co/amphion/MaskGCT)** by Amphion (Licensed under CC BY-NC 4.0)
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* **[Fish-S1mini](https://huggingface.co/fishaudio/s1-mini)** by Fish Audio (Licensed under CC BY-NC-SA 4.0)
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* **[CosyVoice2](https://huggingface.co/FunAudioLLM/CosyVoice2-0.5B)** by FunAudioLLM (Licensed under Apache 2.0)
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## Usage Restrictions
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In accordance with the licenses of the underlying datasets and TTS models (specifically the CC-BY-NC and CC-BY-NC-SA clauses), the valid usage of this dataset only covers **educational and personal purposes**.
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Misuse of the dataset is your own responsibility.
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