Text-to-Speech
Vietnamese
vietnamese
female
male
voice-cloning
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Update README.md

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  Hey there, fellow Vietnamese AI explorers! 👋
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  This model is built upon the fantastic F5-TTS architecture (arXiv:2410.06885). To teach it the beautiful nuances of Vietnamese, we embarked on a fine-tuning adventure using a pretty hefty dataset: over 800,000 samples! This includes a mix of public data and a significant 500-hour private dataset (we're incredibly grateful for the usage rights! 🙏).
 
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  **Training Journey:**
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@@ -246,7 +247,8 @@ We hope to bring more updates your way. Let us know what you think – feedback,
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  Lời kêu gọi: Xin hãy sử dụng công nghệ này một cách có suy xét, thận trọng và đạo đức.
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  **License Stuff** 📜
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- We're keeping it simple with the MIT License, following in the footsteps of giants like Whisper. Use it, break it, hopefully make cool things with it!
 
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  **Feeling Generous? (Citation)** 🙏
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  Did this model actually help you? Or maybe just provide a moment's amusement? If so, a star ⭐ on our GitHub repo would totally make our day!
 
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  Hey there, fellow Vietnamese AI explorers! 👋
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  This model is built upon the fantastic F5-TTS architecture (arXiv:2410.06885). To teach it the beautiful nuances of Vietnamese, we embarked on a fine-tuning adventure using a pretty hefty dataset: over 800,000 samples! This includes a mix of public data and a significant 500-hour private dataset (we're incredibly grateful for the usage rights! 🙏).
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+ Unfortunelately, the base F5-TTS model was **pretrained with Emilia dataset which is under BY-NC 4.0 license (non-commercial)**. Sorry for any inconvenient.
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  **Training Journey:**
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  Lời kêu gọi: Xin hãy sử dụng công nghệ này một cách có suy xét, thận trọng và đạo đức.
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  **License Stuff** 📜
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+ We're keeping it simple with the MIT License for our codes, following in the footsteps of giants like Whisper. Use it, break it, hopefully make cool things with it!
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+ Unfortunelately, the base F5-TTS model was pretrained with Emilia dataset which is under BY-NC 4.0 license (non-commercial). Sorry for any inconvenient.
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  **Feeling Generous? (Citation)** 🙏
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  Did this model actually help you? Or maybe just provide a moment's amusement? If so, a star ⭐ on our GitHub repo would totally make our day!