ukrainian-tts /
Yurii Paniv
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title: "Ukrainian TTS"
emoji: 🐌
colorFrom: blue
colorTo: yellow
sdk: gradio
sdk_version : 3.12
python_version: 3.9
pinned: false
# Ukrainian TTS πŸ“’πŸ€–
Ukrainian TTS (text-to-speech) using ESPNET.
[![Open In HFπŸ€— Space ](](
[![Open In Colab](](
[![Open Bot](πŸ€–-Telegram-blue)](
Link to online demo -> [](
Note: online demo saves user input to improve user experience, by using it you give your consent to analyze this data.
Link to source code and models -> [](
Telegram bot -> [](
Code is licensed under `MIT License`, models are under `GNU GPL v3 License`.
# Support ❀️
If you like my work, please support ❀️ -> [](
For collaboration and question please contact me here:
You're welcome to join UA Speech Recognition and Synthesis community: [Telegram](
# Examples πŸ€–
`Olena (female)`:
<summary>More voices πŸ“’πŸ€–</summary>
`Mykyta (male)`:
`Dmytro (male)`:
`Olha (female)`:
`Lada (female)`:
# How to use: πŸ“’
See example notebook: [tts_example.ipynb](./tts_example.ipynb) [![Open In Colab](](
# How to train: πŸ‹οΈ
# Attribution 🀝
- Model training - [Yurii Paniv @robinhad](
- Mykyta, Olena, Lada, Dmytro, Olha dataset - [Yehor Smoliakov @egorsmkv](
- Dmytro voice - [Dmytro Chaplynskyi @dchaplinsky](
- Silence cutting using [HMM-GMM]( - [Volodymyr Kyrylov @proger](
- Autostress (with dictionary) using [ukrainian-word-stress]( - [Oleksiy Syvokon @asivokon](
- Autostress (with model) using [ukrainian-accentor]( - [Bohdan Mykhailenko @NeonBohdan]( + [Yehor Smoliakov @egorsmkv](