metadata

title: Ukrainian TTS
emoji: 🐌
colorFrom: blue
colorTo: yellow
sdk: gradio
sdk_version: 3.12
python_version: 3.9
app_file: app.py
pinned: false

Ukrainian TTS 📢🤖

Ukrainian TTS (text-to-speech) using ESPNET.

Link to online demo -> 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
Telegram bot -> https://t.me/uk_tts_bot

Code is licensed under MIT License, models are under GNU GPL v3 License.

Support ❤️

If you like my work, please support ❤️ -> https://send.monobank.ua/jar/48iHq4xAXm
For collaboration and question please contact me here:
Telegram https://t.me/robinhad
Twitter https://twitter.com/robinhad
You're welcome to join UA Speech Recognition and Synthesis community: Telegram https://t.me/speech_recognition_uk

Examples 🤖

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: 📢

As a package:

Install using command:

pip install git+https://github.com/robinhad/ukrainian-tts.git

Run a code snippet:

from ukrainian_tts.tts import TTS, Voices, Stress

tts = TTS()
with open("test.wav", mode="wb") as file:
    _, text = tts.tts("Привіт", Voices.Dmytro.value, Stress.Dictionary.value, file)
print("Accented text:", text)

How to train: 🏋️

TBD

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