Datasetpublic

Yehor/opentts-uk-aesthetics

Aesthetics of Open Text-to-Speech for 🇺🇦 Ukrainian dataset Community Discord: https://bit.ly/discord-uds Speech Recognition: https://t.me/speech_recognition_uk Speech Synthesis: https://t.me/speech_synthesis_uk What is it? This dataset contains metrics for https://huggingface.co/datasets/Yehor/opentts-uk dataset retrieved by https://github.com/facebookresearch/audiobox-aesthetics How metrics calculated? You can find a… See the full description on the dataset page: https://huggingface.co/datasets/Yehor/opentts-uk-aesthetics.

sourceHugging Facecc-by-4.0updated 2y agoView on Hugging Face

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Dataset Card

Aesthetics of [Open Text-to-Speech for 🇺🇦 Ukrainian][1] dataset

Community

—Discord: https://bit.ly/discord-uds
—Speech Recognition: https://t.me/speechrecognitionuk
—Speech Synthesis: https://t.me/speechsynthesisuk

What is it?

This dataset contains metrics for https://huggingface.co/datasets/Yehor/opentts-uk dataset retrieved by https://github.com/facebookresearch/audiobox-aesthetics

How metrics calculated?

You can find a audiobox_aesthetics_of_opentts_uk.ipynb file in the Files and versions tab here.

Metrics were calculated using Google Colab with L4 instance. It requires about 7-8 GB of GPU memory.

Cite this work

@misc {smoliakov_2025,
	author       = { {Smoliakov} },
	title        = { opentts-uk-aesthetics (Revision d0d2561) },
	year         = 2025,
	url          = { https://huggingface.co/datasets/Yehor/opentts-uk-aesthetics },
	doi          = { 10.57967/hf/4562 },
	publisher    = { Hugging Face }
}

[1]: https://huggingface.co/datasets/Yehor/opentts-uk