Ukrainian Female TTS Model Vits Encoding Trained on Mai Dataset at 22050Hz

Ukrainian (українська) female text-to-speech model trained at 22050 Hz and is available to synthesize the Ukrainian language.

Model Description

This Ukrainian (українська) female text-to-speech model is trained on the the MAI dataset at 22050 Hz and is available to synthesize the Ukrainian language. The model is based on the VITS encoder.

pip install tts
tts --text "Hello, world!" --model_name tts_models/uk/mai/vits

Voice Samples

default (F)

Ukrainian (українська)

Ukrainian is an East Slavic language spoken primarily in Ukraine. It is closely related to Russian and Belarusian. Ukrainian has a phonetic system with distinctive vowel sounds and complex grammar. It uses the Cyrillic alphabet and features letters specific to Ukrainian phonetics. Ukrainian has a rich literary tradition and is known for its poetry, folklore, and contributions to music and art.

MAI Dataset

The MAI dataset is a collection of speech data used for research in speech processing and related fields. It contains recordings from multiple speakers and is often used for various speech-related tasks.

VITS (VQ-VAE-Transformer)

VITS, also known as VQ-VAE-Transformer, is an advanced technique used for training audio models. It combines different components to create powerful models that can understand and generate human-like speech. VITS works by breaking down audio into tiny pieces called vectors, which are like puzzle pieces that represent different parts of the sound. These vectors are then put together using a special algorithm that helps the model learn patterns and understand the structure of the audio. It’s similar to how we put together jigsaw puzzles to form a complete picture. With VITS, the model can not only recognize and understand different speech sounds but also generate new sounds that sound very similar to human speech. This technology has a wide range of applications, from creating realistic voice assistants to helping people with speech impairments communicate more effectively.