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| 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, Stress | |
| tts = TTS(use_cuda=False) | |
| with open("test.wav", mode="wb") as file: | |
| _, text = tts.tts("ΠΡΠΈΠ²ΡΡ", Voices.Dmytro.value, Stress.Model.value, file) | |
| print("Accented text:", text) | |
| ``` | |
| ## 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) | |