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