|
--- |
|
title: "Ukrainian TTS" |
|
emoji: π |
|
colorFrom: blue |
|
colorTo: yellow |
|
sdk: gradio |
|
sdk_version : 3.3 |
|
python_version: 3.9 |
|
app_file: app.py |
|
pinned: false |
|
--- |
|
|
|
# Ukrainian TTS π’π€ |
|
Ukrainian TTS (text-to-speech) using Coqui TTS. |
|
|
|
Link to online demo -> [https://huggingface.co/spaces/robinhad/ukrainian-tts](https://huggingface.co/spaces/robinhad/ukrainian-tts) |
|
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€ |
|
|
|
`Mykyta (male)`: |
|
|
|
https://user-images.githubusercontent.com/5759207/190852232-34956a1d-77a9-42b9-b96d-39d0091e3e34.mp4 |
|
|
|
|
|
`Olena (female)`: |
|
|
|
https://user-images.githubusercontent.com/5759207/190852238-366782c1-9472-45fc-8fea-31346242f927.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 |
|
|
|
# How to use: π’ |
|
## As a package: |
|
1. Install using command: |
|
``` |
|
pip install git+https://github.com/robinhad/ukrainian-tts.git |
|
``` |
|
2. Run a code snippet: |
|
```python |
|
from ukrainian_tts.tts import TTS, Voices, StressOption |
|
|
|
tts = TTS() |
|
with open("test.wav", mode="wb") as file: |
|
tts.tts("ΠΡΠΈΠ²ΡΡ", Voices.Olena.value, StressOption.Model.value, file) |
|
``` |
|
|
|
## Run manually: |
|
`Caution: this won't use normalizer and autostress like a web demo. ` |
|
1. `pip install -r requirements.txt`. |
|
2. Download `model.pth` and `speakers.pth` from "Releases" tab. |
|
3. Launch as one-time command: |
|
``` |
|
tts --text "Text for TTS" \ |
|
--model_path path/to/model.pth \ |
|
--config_path path/to/config.json \ |
|
--speaker_idx dmytro \ |
|
--out_path folder/to/save/output.wav |
|
``` |
|
or alternatively launch web server using: |
|
``` |
|
tts-server --model_path path/to/model.pth \ |
|
--config_path path/to/config.json |
|
``` |
|
|
|
# How to train: ποΈ |
|
1. Refer to ["Nervous beginner guide"](https://tts.readthedocs.io/en/latest/tutorial_for_nervous_beginners.html) in Coqui TTS docs. |
|
2. Instead of provided `config.json` use one from this repo. |
|
|
|
|
|
# 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) |
|
|
