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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) | |