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| title: "Ukrainian TTS" | |
| emoji: 🐌 | |
| colorFrom: blue | |
| colorTo: yellow | |
| sdk: gradio | |
| sdk_version : 3.14 | |
| python_version: 3.10.3 | |
| app_file: app.py | |
| pinned: false | |
| # Ukrainian TTS 📢🤖 | |
| Ukrainian TTS (text-to-speech) using ESPNET. | |
|  | |
| [](https://huggingface.co/spaces/robinhad/ukrainian-tts) | |
| [](https://colab.research.google.com/github/robinhad/ukrainian-tts/blob/main/tts_example.ipynb) | |
| [](https://t.me/uk_tts_bot) | |
| [](https://t.me/speech_recognition_uk) | |
| Link to online demo -> [https://huggingface.co/spaces/robinhad/ukrainian-tts](https://huggingface.co/spaces/robinhad/ukrainian-tts) | |
| Note: online demo saves user input to improve user experience; by using it, you consent to analyze this data. | |
| Link to source code and models -> [https://github.com/robinhad/ukrainian-tts](https://github.com/robinhad/ukrainian-tts) | |
| Telegram bot -> [https://t.me/uk_tts_bot](https://t.me/uk_tts_bot) | |
| # Features ⚙️ | |
| - Completely offline | |
| - Multiple voices | |
| - Automatic stress with priority queue: `user-defined` > `dictionary` > `model` | |
| - Control speech speed | |
| - Python package works on Windows, Mac (x86/M1), Linux(x86/ARM) | |
| - Inference on mobile devices (inference models through `espnet_onnx` without cleaners) | |
| # Support ❤️ | |
| If you like my work, please support ❤️ -> [https://send.monobank.ua/jar/48iHq4xAXm](https://send.monobank.ua/jar/48iHq4xAXm) | |
| For collaboration and questions please contact me here: | |
| [Telegram https://t.me/robinhad](https://t.me/robinhad) | |
| [Twitter https://twitter.com/robinhad](https://twitter.com/robinhad) | |
| You're welcome to join UA Speech Recognition and Synthesis community: [Telegram https://t.me/speech_recognition_uk](https://t.me/speech_recognition_uk) | |
| # Examples 🤖 | |
| `Tetiana (female)`: | |
| https://user-images.githubusercontent.com/5759207/224504324-d8236cad-7302-4dfd-9696-7a42b9f05fce.mp4 | |
| <details> | |
| <summary>More voices 📢🤖</summary> | |
| `Dmytro (male)`: | |
| https://user-images.githubusercontent.com/5759207/224504354-f84f74d3-fa46-497c-9604-4b63ba45989f.mp4 | |
| `Lada (female)`: | |
| https://user-images.githubusercontent.com/5759207/224504360-ec198ac2-647c-4238-99ef-b6f074d633fd.mp4 | |
| `Mykyta (male)`: | |
| https://user-images.githubusercontent.com/5759207/224504363-0227e8bf-8c1c-49ad-8602-8cbf8feaa82b.mp4 | |
| </details> | |
| # How to use: 📢 | |
| See example notebook: [tts_example.ipynb](./tts_example.ipynb) [](https://colab.research.google.com/github/robinhad/ukrainian-tts/blob/main/tts_example.ipynb) | |
| # How to train: 🏋️ | |
| Link to guide: [training/STEPS.md](training/STEPS.md) | |
| # Attribution 🤝 | |
| - Model training - [Yurii Paniv @robinhad](https://github.com/robinhad) | |
| - [Open Source Ukrainian Text-to-Speech dataset](https://github.com/egorsmkv/ukrainian-tts-datasets) - [Yehor Smoliakov @egorsmkv](https://github.com/egorsmkv) | |
| - Dmytro voice - [Dmytro Chaplynskyi @dchaplinsky](https://github.com/dchaplinsky) | |
| - Silence cutting using [HMM-GMM](https://github.com/proger/uk) - [Volodymyr Kyrylov @proger](https://github.com/proger) | |
| - Autostress (with dictionary) using [ukrainian-word-stress](https://github.com/lang-uk/ukrainian-word-stress) - [Oleksiy Syvokon @asivokon](https://github.com/asivokon) | |
| - Autostress (with model) using [ukrainian-accentor](https://github.com/egorsmkv/ukrainian-accentor) - [Bohdan Mykhailenko @NeonBohdan](https://github.com/NeonBohdan) + [Yehor Smoliakov @egorsmkv](https://github.com/egorsmkv) | |