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| What it does | Converts Amharic text to natural speech; clones any voice from 10s audio |
| Architecture | Non-autoregressive discrete diffusion (612.6M params) |
| Training data | 331 hours across 4 datasets |
| Best loss | 3.9518 |
| License | Apache 2.0 — completely free |
| Try it | ▶️ Live Demo |
| Download | 📦 Model |
1# Quick start — runs on free Colab T4
2!pip install -q omnivoice soundfile
3from omnivoice import OmniVoice, OmniVoiceGenerationConfig
4import torch
5
6model = OmniVoice.from_pretrained("ethiopian-Demtse/omnivoice-amharic", device_map="cuda:0", dtype=torch.float16)
7audio = model.generate(text="ሰላም፣ እንኳን ደህና መጣችሁ!", language="Amharic",
8 generation_config=OmniVoiceGenerationConfig(num_step=32, guidance_scale=2.0))| ቋንቋ / Language | ተናጋሪ / Speakers | ሁኔታ / Status |
|---|---|---|
| አማርኛ Amharic | 60M+ | ✅ TTS + Voice Cloning |
| ኦሮምኛ Afaan Oromoo | 40M+ | 🔜 Next |
| ትግርኛ Tigrinya | 10M+ | 🔜 Planned |
| ሶማሊኛ Somali | 7M+ | 🔜 Planned |
| ሲዳምኛ Sidamo | 4M+ | 📋 Future |
| ወላይትኛ Wolaytta | 3M+ | 📋 Future |
| ጉራግኛ Gurage | 2M+ | 📋 Future |
| ሐዲይኛ Hadiyya | 2M+ | 📋 Future |
| አፋርኛ Afar | 2M+ | 📋 Future |
| ገሞኛ Gamo | 1.5M+ | 📋 Future |
| Dataset | Hours | Language |
|---|---|---|
| google/WaxalNLP | ~200h | Amharic |
| gheero-Leyu/leyu-amharic-addis-ababa-dialect | ~50h | Amharic (Addis) |
| surafelabebe/amharic_clear_audio_tts | ~40h | Amharic |
| chappM/amharic-bdu-asr | ~41h | Amharic |
| Total | ~331h |
| Project | Description | Status |
|---|---|---|
| Text-to-Speech (TTS) | ጽሑፍ → ንግግር | ✅ Amharic done |
| Voice Cloning | 10 ሰከንድ ናሙና → ማንኛውም ድምጽ | ✅ Amharic done |
| Speech Recognition (ASR) | ንግግር → ጽሑፍ | 📋 Planned |
| Language Models (NLP) | የቋንቋ ሞዴሎች | 📋 Planned |
| Machine Translation | ትርጉም በኢትዮጵያ ቋንቋዎች | 📋 Planned |
| Way to help | Description |
|---|---|
| 🎙️ Donate audio | Record or share speech in any Ethiopian language (any dialect, any speaker) |
| 💻 Code | Open Issues, submit PRs, improve training pipelines |
| 📝 Data | Text transcriptions, translations, text-audio pairs |
| 🏫 Institutions | Universities and organizations: partner with us for data collection |
| 🧪 Evaluate | Native speakers: test our models and give feedback on naturalness |
| 💰 Fund | Support compute costs and data collection |
| Initiative | Focus |
|---|---|
| african-low-resource | Pan-African: Amharic, Wolof, Hausa, Swahili, Somali |
| ethiopian-Demtse | Ethiopia-specific: all 80+ Ethiopian languages |
1@software{ethiopian_demtse_2026,
2 author = {demeleww and ethiopian-Demtse},
3 title = {ድምፄ: Open Speech AI for Ethiopian Languages},
4 year = {2026},
5 url = {https://huggingface.co/ethiopian-Demtse},
6 license = {Apache-2.0}
7}