Downloads · 30 days
37
1% of all-time downloads
fav-kky/SpeechT5-base-cs-tts
SpeechT5-base-cs-tts is a text-to-audio model from fav-kky. Use it for the text-to-audio task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as cc-by-nc-sa-4.0.
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-Speake…
Downloads · 30 days
37
1% of all-time downloads
All-time downloads
3.7K
Public
Parameters
146M
1.2 GB on disk
Likes
0
Public
Click a slice to open those files.
.bin585 MB · 50%
From the Hugging Face model README
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.
https://link.springer.com/chapter/10.1007/978-3-031-70566-3_5
Pre-print: http://arxiv.org/abs/2407.17167.
If you find this model useful, please cite our paper:
@InProceedings{10.1007/978-3-031-70566-3_5,
author="Lehe{\v{c}}ka, Jan
and Hanzl{\'i}{\v{c}}ek, Zden{\v{e}}k
and Matou{\v{s}}ek, Jind{\v{r}}ich
and Tihelka, Daniel",
editor="N{\"o}th, Elmar
and Hor{\'a}k, Ale{\v{s}}
and Sojka, Petr",
title="Zero-Shot vs. Few-Shot Multi-speaker TTS Using Pre-trained Czech SpeechT5 Model",
booktitle="Text, Speech, and Dialogue",
year="2024",
publisher="Springer Nature Switzerland",
address="Cham",
pages="46--57",
isbn="978-3-031-70566-3"
}
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 compatible with the SpeechT5ForTextToSpeech class.
In order to use this model for text-to-speech, it must be fine-tuned on labeled TTS data.
The usage is the same as for the microsoft/speecht5_tts