doannguyenmmo/VI-TEXT-TO-SPEECH

🛑 Important Note ⚠️

This model is only intended for research purposes.
Access requests must be made using an institutional, academic, or corporate email. Requests from public email providers will be denied. We appreciate your understanding.

🎙️ F5-TTS-Vietnamese-100h

A compact fine-tuned version of F5-TTS trained on 100 hours of Vietnamese speech.

🔗 For more fine-tuning experiments, visit: https://github.com/nguyenthienhy/F5-TTS-Vietnamese.

📜 License: CC-BY-NC-SA-4.0 — Non-commercial research use only.

---

📌 Model Details

• Dataset: VLSP 2021, VLSP 2022, VLSP 2023, vietTTS, and some speech sources from YouTube channels.
• Total dataset durations: 100 hours
• Training Configuration:
  • Base Model: F5-TTS_Base
  • GPU: RTX 3090
  • Batch Size: 3200 frames
• Training Progress: Stopped at 350,000 steps

---

📝 Usage

To load and use the model, follow the example below:

git clone https://github.com/nguyenthienhy/F5-TTS-Vietnamese
cd F5-TTS-Vietnamese
python -m pip install -e.
f5-tts_infer-cli \
--model "F5TTS_Base" \
--ref_audio ref.wav \
--ref_text "cả hai bên hãy cố gắng hiểu cho nhau" \
--gen_text "mình muốn ra nước ngoài để tiếp xúc nhiều công ty lớn, sau đó mang những gì học được về việt nam giúp xây dựng các công trình tốt hơn" \
--speed 1.0 \
--vocoder_name vocos \
--vocab_file data/your_training_dataset/vocab.txt \
--ckpt_file ckpts/your_training_dataset/model_last.pt \