🇲🇲 F5-TTS Burmese v2 (1,025,604 Updates Foundation Model)
The official v2 release of the F5-TTS (Flow-Matching Diffusion Transformer) Burmese speech foundation model, trained on 794.5+ hours of Burmese speech across 36 full epochs (1,025,604 updates).
"They are fighting for people's freedom. I am fighting for the language's freedom.
I just want to preserve their beautiful, lovely, and brave voices embedded in AI to last forever — marking the first time in history for a massive Burmese open-source TTS foundation model."
🌟 What's New in v2
- Over 1 Million Updates: Pushed training from 569,780 steps (v1) to 1,025,604 updates (36 epochs) for significantly tighter phonetic alignment and tone clarity.
- 50% Smaller Model (FP16): Pruned weights down from 1.35 GB to 674 MB for 2x faster downloads and lower GPU VRAM consumption.
- Production-Grade Zero-Shot Voice Cloning: Natural conversational cadence, improved tone handling on conjuncts and Pāḷi loanwords, and zero cut-offs.
- Raw Checkpoints Available: Intermediate checkpoints (
model_1020000.pt,model_1025000.pt, andmodel_last.pt) are included undercheckpoints/for developers wanting to continue fine-tuning.
⚡ Quickstart: Python Package (f5-myanmar-tts)
The easiest way to use this model is with the official PyPI package:
pip install --upgrade f5-myanmar-tts
Python (Just 3 lines):
from f5_myanmar_tts import MyanmarTTS
# Auto-downloads lightweight v2 FP16 model (~674MB) on first run
tts = MyanmarTTS()
# Generate Burmese speech
tts.speak(
"လူသားတွေ အားလုံးကို အယုတ်အလတ်အမြတ်မရွေး ချစ်ခင်လေးစားပါ",
output_file="speech.wav"
)
Voice Cloning (Clone any voice in 3–5 seconds):
tts.speak(
text="ဒါကြောင့် အုံ့မှိုင်းနေတဲ့ ကောင်းကင်ကို အမိန့်ပေးပြီး မိုးကောင်းကင် တံခါးတွေကို ဖွင့်လိုက်တယ်",
ref_audio="my_voice.wav",
ref_text="အပြင် မသွားရလို့ စိတ်ညစ်နေပါတယ် မိုးတွေ တအား ရွာနေပါတယ်",
output_file="cloned_speech.wav"
)
📊 Model Specifications
| Parameter | Specification |
|---|---|
| Architecture | Diffusion Transformer (DiT Base) |
| Parameters | 337,138,310 (~337M) |
| Layers / Heads / Dim | 22 layers, 16 heads, dim=1024, text_dim=512 |
| Training Steps | 36 Epochs (1,025,604 updates) |
| Training Audio | 794.5+ Hours Burmese Speech |
| Sampling Rate | 24,000 Hz |
| Vocoder | Vocos (24kHz Mel) |
| Vocabulary | 2,626 Burmese & Pāḷi Unicode Tokens |
| Format | Safetensors (674 MB FP16 Pruned EMA weights) |
| License | Creative Commons Attribution-NonCommercial 4.0 (CC BY-NC 4.0) |
🕊️ Dedication & Acknowledgements
- GEMINI AI (Google): Co-engineering partner through every line of code, architecture debugging, memory optimizations, and fine-tuning pipelines.
- F5-TTS Research Team: Yushen Chen and the creators of F5-TTS for open-sourcing this world-class flow-matching speech architecture.
- The Brave Voices of Freedom: National Unity Government (NUG), PVTV broadcasters, independent journalists, and creators whose voices form the backbone of this heritage preservation project.
📜 License
Released under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license. Dedicated to free public research, language preservation, education, and open-source innovation.