StyleTTS2 + Vocos with LibriTTS Dataset

StyleTTS2
├── README.md
└── Vocos
    └── LibriTTS
        └── [checkpoint files]

This model was trained using the train-clean-100 and train-clean-360 subsets of the LibriTTS dataset.

Model Information

• Model Architecture: StyleTTS2 + Vocos
• Training Data: LibriTTS train-clean-100 + train-clean-360
• License: MIT

The training and inference code can be found at: StyleTTS2-Vocos

License

This model is released under the MIT License. This is one of the most permissive open-source licenses, allowing for both commercial and non-commercial use, modification, and distribution.

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StyleTTS2 + Vocos with AIHUB Dataset

StyleTTS2
├── README.md
└── Vocos
    └── AIHUB
        └── [checkpoint files]

This model was trained using multiple datasets from AIHUB:

1. Korean Data (~1000 hours)

   • Source: 감성 및 발화스타일 동시 고려 음성합성 데이터

2. English & Japanese Data (~1000 hours)

   • Source: 다국어 통·번역 낭독체 데이터

3. Chinese Data (~500 hours)

   • Source: 한-영 및 한-중 음성발화 데이터

Total samples: ~1.4M

Model Information

• Model Architecture: StyleTTS2 + Vocos
• Training Data: AIHUB Multilingual Dataset
• License: CC BY-NC 4.0

The training and inference code can be found at: StyleTTS2-Vocos

License

This model is released under the CC BY-NC 4.0 License. This license allows for non-commercial use, modification, and distribution, as long as appropriate credit is given.