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andromeda0302/E2-F5-TTS-SPANISH
E2-F5-TTS-SPANISH is a machine learning model from andromeda0302. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as cc-by-sa-4.0.
This is a super early and bad Spanish fine-tuned model for the e2-f5-tts model (https://huggingface.co/spaces/mrfakename/E2-F5-TTS).
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Updated Jul 14, 2025
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From the Hugging Face model README
This is a super early and bad Spanish fine-tuned model for the e2-f5-tts model (https://huggingface.co/spaces/mrfakename/E2-F5-TTS).
I may upload more versions as it trains.
This are the URLs of the databases I used for this model:
https://www.kaggle.com/datasets/carlfm01/120h-spanish-speech
https://www.kaggle.com/datasets/bryanpark/spanish-single-speaker-speech-dataset?resource=download
This model is under the Attribution-ShareAlike 4.0 International license because some of the databases used require it.
I also need to say that this model is subject to copyright under the Attribution-ShareAlike 4.0 International license.
I also need to put this text below:
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Now I need to show references of some databases:
@inproceedings{guevara-rukoz-etal-2020-crowdsourcing, title = {{Crowdsourcing Latin American Spanish for Low-Resource Text-to-Speech}}, author = {Guevara-Rukoz, Adriana and Demirsahin, Isin and He, Fei and Chu, Shan-Hui Cathy and Sarin, Supheakmungkol and Pipatsrisawat, Knot and Gutkin, Alexander and Butryna, Alena and Kjartansson, Oddur}, booktitle = {Proceedings of The 12th Language Resources and Evaluation Conference (LREC)}, year = {2020}, month = may, address = {Marseille, France}, publisher = {European Language Resources Association (ELRA)}, url = {https://www.aclweb.org/anthology/2020.lrec-1.801}, pages = {6504--6513}, ISBN = {979-10-95546-34-4}, }