ewigeki/speecht5_tts_common_voice_uk

This model is a fine-tuned version of SpeechT5 for the Ukrainian language, using the Common Voice dataset.

Usage:

!pip install git+https://github.com/huggingface/transformers

from transformers import SpeechT5Processor, SpeechT5ForTextToSpeech, SpeechT5ForSpeechToSpeech, SpeechT5HifiGan

processor = SpeechT5Processor.from_pretrained("microsoft/speecht5_tts")
model = SpeechT5ForTextToSpeech.from_pretrained("tenebrisu/speecht5_tts_common_voice_uk")
vocoder = SpeechT5HifiGan.from_pretrained("microsoft/speecht5_hifigan")

speaker_embeddings = 2 * torch.rand((1, 512)) - 1
text = """ pryvit yak spravy """

inputs = processor(text=text, return_tensors="pt")

speech = model.generate_speech(inputs["input_ids"], speaker_embeddings, output_cross_attentions=True)
waveform = vocoder.forward(speech[0])

Transliteration Table:

To support the transliteration of Ukrainian characters, the following table is used: