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Ukrainian Female TTS Model Glow Tts Encoding Trained on Mai Dataset at 16000Hz

Ukrainian (українська) female text-to-speech model trained at 16000 Hz and is available to synthesize the Ukrainian language.

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Ukrainian (українська) female text-to-speech model trained at 16000 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 16000 Hz and is available to synthesize the Ukrainian language. The model is based on the Glow-TTS encoder.

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

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.

Glow-TTS

Glow-TTS is an advanced technology used for training audio models, specifically for text-to-speech synthesis. It stands for Glow: Generative Flow for Text to Speech. Glow-TTS leverages the power of deep learning and generative models to transform written text into natural and high-quality speech. By employing complex neural network architectures, Glow-TTS learns the intricate relationships between text and corresponding speech patterns. This enables it to generate speech that sounds remarkably human-like, with clear enunciation, natural prosody, and convincing emotional nuances. Glow-TTS breaks down the complexities of speech generation into a sequence of mathematical operations, making it easier for machines to learn and mimic the intricate nature of human speech. The technology has numerous applications, including voice assistants, automated voiceovers, interactive systems, and more, where realistic and expressive speech synthesis is required.

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