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Download README.md from Lab-et/README: direct link, hf CLI and curl.
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- Download file 3 kB
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https://huggingface.co/spaces/Lab-et/README/resolve/main/README.md
- Command line
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hf download hf://spaces/Lab-et/README/README.md
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curl -L -o README.md https://huggingface.co/spaces/Lab-et/README/resolve/main/README.md
3 kB
| title: lab.et — The AI Lab of Ethiopia | |
| emoji: 🎙️ | |
| colorFrom: red | |
| colorTo: yellow | |
| pinned: true | |
| license: cc-by-4.0 | |
| # 🇪🇹 lab.et — The AI Lab of Ethiopia | |
| <div align="center"> | |
| **We build artificial intelligence for Ethiopian languages.** | |
| *በእኛ ቋንቋ የሚሰራ አስተውሎት።* | |
| [🌐 lab.et](https://lab.et) · [🎙️ voice.et](https://voice.et) · [✨ yakal.et](https://yakal.et) | |
| </div> | |
| --- | |
| ## Who we are | |
| [lab.et](https://lab.et) is an artificial intelligence lab based in **Addis Ababa, Ethiopia**. Amharic is spoken by over 50 million people — yet it remains one of the world's most under-resourced languages in AI. We exist to change that. | |
| We collect our own datasets. We train our own models. We run our own infrastructure. No rented intelligence, no foreign data flows — Ethiopian AI, built in Ethiopia. | |
| ## What we build | |
| ### 🎙️ [voice.et](https://voice.et) — Speech AI | |
| Automatic speech recognition and natural text-to-speech for **Amharic, Afaan Oromoo, Tigrinya, Sidamo and Wolaytta** — in production, serving real users through APIs and live voice products. | |
| ### ✨ [yakal.et](https://yakal.et) — The AI Console | |
| Chat, images, video, voice and an AI site builder — in Amharic, Afaan Oromoo and English, **prepaid in Birr** via Telebirr. Built for Ethiopian creators, developers and businesses. | |
| ### 🏢 Enterprise & Research | |
| Custom speech models tuned to your domain, on-premise and sovereign deployments that keep Ethiopian data inside Ethiopia, and ethically-sourced language corpora for research institutions. | |
| ## 📦 Open releases | |
| | Release | What it is | | |
| |---|---| | |
| | [azemari](https://huggingface.co/Lab-et/azemari) | 🎙️ **Our flagship TTS** — multilingual Ethiopian voice: Amharic, Afaan Oromoo, Tigrinya · emotion control · voice cloning · complete checkpoint, ready to run | | |
| | [omnivoice-amharic](https://huggingface.co/Lab-et/omnivoice-amharic) | Our in-house Amharic text-to-speech system | | |
| | [amharic-corpus](https://huggingface.co/datasets/Lab-et/amharic-corpus) | **408.5 hours** of clean synthetic Amharic speech (146,359 clips) — generated entirely by OmniVoice | | |
| | [azemari-samples](https://huggingface.co/datasets/Lab-et/azemari-samples) | Listening samples for Azemari — languages, emotions, voice cloning | | |
| | *more coming soon* | datasets, models, benchmarks for Ethiopian languages | | |
| ## By the numbers | |
| - 🗣️ **5 languages** supported in production ASR | |
| - 📼 **~193k** speech utterances in our training corpora | |
| - 🔬 **In-house** model training, evaluation and research pipelines | |
| - 🏭 **Production-proven** — live products serving real users since 2025 | |
| ## Work with us | |
| Building for the Ethiopian market? Banks, telcos, government services, NGOs — reach us: | |
| - 🌐 [lab.et](https://lab.et) | |
| - ✉️ [admin@lab.et](mailto:admin@lab.et) | |
| We read everything. | |
| --- | |
| <div align="center"> | |
| **lab.et** · Built in Addis Ababa · *በአዲስ አበባ የተሰራ* 🇪🇹 | |
| </div> | |