Instructions to use fav-kky/SpeechT5-base-cs-tts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fav-kky/SpeechT5-base-cs-tts with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="fav-kky/SpeechT5-base-cs-tts")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("fav-kky/SpeechT5-base-cs-tts") model = AutoModelForTextToSpectrogram.from_pretrained("fav-kky/SpeechT5-base-cs-tts") - Notebooks
- Google Colab
- Kaggle
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README.md
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See our paper for details.
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## Paper
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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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```
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See our paper for details.
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## Paper
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https://link.springer.com/chapter/10.1007/978-3-031-70566-3_5
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Pre-print: 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{10.1007/978-3-031-70566-3_5,
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author="Lehe{\v{c}}ka, Jan
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and Hanzl{\'i}{\v{c}}ek, Zden{\v{e}}k
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and Matou{\v{s}}ek, Jind{\v{r}}ich
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and Tihelka, Daniel",
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editor="N{\"o}th, Elmar
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and Hor{\'a}k, Ale{\v{s}}
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and Sojka, Petr",
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title="Zero-Shot vs. Few-Shot Multi-speaker TTS Using Pre-trained Czech SpeechT5 Model",
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booktitle="Text, Speech, and Dialogue",
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year="2024",
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publisher="Springer Nature Switzerland",
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address="Cham",
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pages="46--57",
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isbn="978-3-031-70566-3"
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}
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```
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