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---
title: "Ukrainian TTS"
emoji: π
colorFrom: blue
colorTo: yellow
sdk: gradio
sdk_version : 3.12
python_version: 3.9
app_file: app.py
pinned: false
---
# Ukrainian TTS π’π€
Ukrainian TTS (text-to-speech) using ESPNET.
![pytest](https://github.com/robinhad/ukrainian-tts/actions/workflows/hf-sync.yml/badge.svg)
[![Open In HFπ€ Space ](https://img.shields.io/badge/Open%20Demo-%F0%9F%A4%97%20Space-yellow)](https://huggingface.co/spaces/robinhad/ukrainian-tts)
[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/robinhad/ukrainian-tts/blob/main/tts_example.ipynb)
[![Open Bot](https://img.shields.io/badge/Open%20Bot%20π€-Telegram-blue)](https://t.me/uk_tts_bot)
[![chat](https://img.shields.io/badge/chat-Telegram-blue)](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 give your 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)
Code is licensed under `MIT License`, models are under `GNU GPL v3 License`.
# Support β€οΈ
If you like my work, please support β€οΈ -> [https://send.monobank.ua/jar/48iHq4xAXm](https://send.monobank.ua/jar/48iHq4xAXm)
For collaboration and question 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 π€
`Olena (female)`:
https://user-images.githubusercontent.com/5759207/190852238-366782c1-9472-45fc-8fea-31346242f927.mp4
<details>
<summary>More voices π’π€</summary>
`Mykyta (male)`:
https://user-images.githubusercontent.com/5759207/190852232-34956a1d-77a9-42b9-b96d-39d0091e3e34.mp4
`Dmytro (male)`:
https://user-images.githubusercontent.com/5759207/190852251-db105567-52ba-47b5-8ec6-5053c3baac8c.mp4
`Olha (female)`:
https://user-images.githubusercontent.com/5759207/190852259-c6746172-05c4-4918-8286-a459c654eef1.mp4
`Lada (female)`:
https://user-images.githubusercontent.com/5759207/190852270-7aed2db9-dc08-4a9f-8775-07b745657ca1.mp4
</details>
# How to use: π’
See example notebook: [tts_example.ipynb](./tts_example.ipynb) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/robinhad/ukrainian-tts/blob/main/tts_example.ipynb)
# How to train: ποΈ
TBD
# Attribution π€
- Model training - [Yurii Paniv @robinhad](https://github.com/robinhad)
- Mykyta, Olena, Lada, Dmytro, Olha dataset - [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)
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