Upload README.md

README.md

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-license: cc-by-nc-sa-4.0
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+---
+tags:
+  - text-to-speech
+  - vietnamese
+  - ai-model
+  - deep-learning
+license: cc-by-nc-sa-4.0
+library_name: pytorch
+datasets:
+  - VLSP2021
+  - VLSP2022
+  - VLSP2023
+  - vietTTS
+  - UEH
+model_name: ZipVoice-Vietnamese-150h
+language: vi
+---
+
+# 🛑 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.  
+
+# 🎙️ ZipVoice-Vietnamese-150h
+ZipVoice is a series of fast and high-quality zero-shot TTS models based on flow matching.
+
+Key features:
+1. Small and fast: only 123M parameters.
+
+2. High-quality voice cloning: state-of-the-art performance in speaker similarity, intelligibility, and naturalness.
+
+3. Multi-lingual: support Chinese and English.
+
+4. Multi-mode: support both single-speaker and dialogue speech generation.
+
+This checkpoint is a compact fine-tuned version of ZipVoice trained on 150 hours of Vietnamese speech.  
+
+🔗 For more fine-tuning and inference experiments, visit: https://github.com/k2-fsa/ZipVoice.  
+
+📜 **License:** [CC-BY-NC-SA-4.0](https://spdx.org/licenses/CC-BY-NC-SA-4.0) — Non-commercial research use only.  
+
+---
+
+## 📌 Model Details
+
+- **Dataset:** VLSP 2021, VLSP 2022, VLSP 2023, VietTTS, TeacherDinh-UEH and some speech sources from YouTube channels.
+- **Total dataset durations:** 150 hours
+- **Data processing Technique:**
+  - Remove all music background from audios, using facebook demucs model: https://github.com/facebookresearch/demucs
+  - Do not use audio files shorter than 1 second or longer than 30 seconds.
+  - Keep the default punctuation marks unchanged.
+  - Normalize to lowercase format.
+- **Training Configuration:**  
+  - **Base Model:** ZipVoice with espeak-ng vi for tokenizer  
+  - **GPU:** RTX 3090  
+  - **Batch Siz:** Max duration 200  
+- **Training Progress:** Stopped at **96,000 steps at epoch 30**  
+
+---
+
+## 🛑 Update Note
+Thank you, Teacher Định from the University of Economics Ho Chi Minh City (UEH), for providing me with an additional 50-hours high-quality labeled dataset.
+
+Him contact: https://www.facebook.com/luudinhit93