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README.md
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---
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language: "cs"
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tags:
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- Czech
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- SpeechT5
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- KKY
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- FAV
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license: "cc-by-nc-sa-4.0"
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---
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# SpeechT5-base-cs-tts
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This is a monolingual Czech SpeechT5 base model pre-trained from 120 thousand hours of Czech speech and a large Czech text corpus with 17.5B words.
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It has been released along with a paper **Zero-Shot vs. Few-Shot Multi-Speaker TTS Using Pre-trained Czech SpeechT5 Model** accepted to TSD2024 conference.
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It is meant to be used as a starting checkpoint for Czech TTS fine-tuning.
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**Important note: This is only a pre-trained model, so it has not yet been trained for the TTS task.**
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See our paper for details.
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## Paper
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The pre-print of our paper is available at http://arxiv.org/abs/2407.17167.
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## Citation
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If you find this model useful, please cite our paper:
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```
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@inproceedings{lehecka2024multispeakertts,
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title = {{Zero-Shot vs. Few-Shot Multi-Speaker TTS Using Pre-trained Czech SpeechT5 Model}},
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author = {
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Jan Lehe\v{c}ka and
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Zden\v{e}k Hanzl\'i\v{c}ek and
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Jind\v{r}ich Matou\v{s}ek and
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Daniel Tihelka
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},
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booktitle = {{Text, Speech, and Dialogue}},
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publisher = {{Springer International Publishing}},
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year = {2024},
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note = {In press},
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url = {https://arxiv.org/abs/2407.17167},
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}
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```
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## Usage
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This is a TTS variant of the SpeechT5 model,
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i.e., the input modality is text (processed via the text pre-net),
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and the output modality is speech (processed via the speech post-net).
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The model has the same format as the [English speecht5-tts model](https://huggingface.co/microsoft/speecht5_tts) compatible with the [SpeechT5ForTextToSpeech class](https://huggingface.co/docs/transformers/model_doc/speecht5#transformers.SpeechT5ForTextToSpeech).
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In order to use this model for text-to-speech, it must be [fine-tuned](https://huggingface.co/learn/audio-course/chapter6/fine-tuning) on labeled TTS data.
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The usage is the same as for the [English speecht5-tts model](https://huggingface.co/microsoft/speecht5_tts)
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## Related works
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