title: "Ukrainian TTS" emoji: 🐌 colorFrom: blue colorTo: yellow sdk: gradio sdk_version : 3.40.1 python_version: 3.10.3 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 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

Features ⚙️

• Completely offline
• Multiple voices
• Automatic stress with priority queue: acute -> user-defined > dictionary > model
• Control speech speed
• Python package works on Windows, Mac (x86/M1), Linux(x86/ARM)
• Inference on mobile devices (inference models through espnet_onnx without cleaners)

Support ❤️

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

Examples 🤖

Oleksa (male):

https://github.com/robinhad/ukrainian-tts/assets/5759207/ace842ef-06d0-4b1f-ad49-5fda92999dbb

How to use: 📢

Quickstart

Install using:

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

Code example:

from ukrainian_tts.tts import TTS, Voices, Stress
import IPython.display as ipd

tts = TTS(device="cpu") # can try gpu, mps
with open("test.wav", mode="wb") as file:
    _, output_text = tts.tts("Привіт, як у тебе справи?", Voices.Dmytro.value, Stress.Dictionary.value, file)
print("Accented text:", output_text)

ipd.Audio(filename="test.wav")

See example notebook: tts_example.ipynb

How to contribute: 🙌

Look into this list with current problems: https://github.com/robinhad/ukrainian-tts/issues/35

How to train: 🏋️

Link to guide: training/STEPS.md

Attribution 🤝

• Model training - Yurii Paniv @robinhad
• Open Source Ukrainian Text-to-Speech 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