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README.md
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@@ -29,7 +29,7 @@ A compact fine-tuned version of F5-TTS trained on 150 hours of Vietnamese speech
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## 📌 Model Details
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- **Dataset:** VLSP 2021, VLSP 2022, VLSP 2023,
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- **Total dataset durations:** 150 hours
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- **Data processing Technique:**
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- Remove all music background from audios, using facebook demucs model: https://github.com/facebookresearch/demucs
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## 📌 Model Details
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- **Dataset:** VLSP 2021, VLSP 2022, VLSP 2023, VietTTS, TeacherDinh-UEH and some speech sources from YouTube channels.
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- **Total dataset durations:** 150 hours
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- **Data processing Technique:**
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- Remove all music background from audios, using facebook demucs model: https://github.com/facebookresearch/demucs
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