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Masbro F5 Tts

This indonesian finetune of F5-TTS is made to introduce indonesian speech capabilities on the model. This version 2 finetune should be much better than version 1 in terms of speaker similarity, naturalism, and...

TipoOtherModelo baseSWivid/F5-TTSVersiónVersion 1Ccalidad

Fuente del modelo

Tipo
Other
Tamaño del archivo
1,26 GB
Modelo base
SWivid/F5-TTS
Versión
vVersion 1
Actualizado
26 oct 2026
Fuente
Hugging Face

Descripción de la fuente

🔥 Overview

This indonesian finetune of F5-TTS is made to introduce indonesian speech capabilities on the model. This version 2 finetune should be much better than version 1 in terms of speaker similarity, naturalism, and pronunciation.


📝 Dataset

Length: 152.79 hours
Audio samples: 69656

Dataset sources:
• Indonesian Youtube videos, cutted and preprocessed, samples voice


🔎 License

The pre-trained model is licensed under the CC-BY-NC license due to the training data Emilia, which is an in-the-wild dataset and the finetune data which is also an in-the-wild dataset. Sorry for any inconvenience this may cause.

Fuentes

1 fuente
Hugging FacePrincipalVersión 1bae09ebe7ca076590a40c43dac482368272e53d
huggingface.co/dev-rexpro/masbro-f5-tts/tree/1bae09ebe7ca076590a40c43dac482368272e53d

Verificado 26 oct

Artefactos del modelo

1 artefacto

masbro-f5-tts.pt

pt · 1,26 GB · SHA-256 f35713160343…5b17 · Hugging Face

Download file

Extractos de fuentes

2 extractos

--- license: cc-by-nc-4.0 language: - id base_model: - SWivid/F5-TTS pipeline_tag: text-to-speech --- # 🔥 Overview This indonesian finetune of [F5-TTS](https://github.com/SWivid/F5-TTS) is made to introduce indonesian speech capabilities on the model. This version 2 finetune should be much better than version 1 in terms of speaker similarity, naturalism, and pronunciation. --- # 📝 Dataset Length: 152.79 hours \ Audio samples: 69656 Dataset sources: \ • Indonesian Youtube videos, cutted and preprocessed, samples voice --- # 🔎 License The pre-trained model is licensed under the CC-BY-NC license due to the training data Emilia, which is an in-the-wild dataset and the finetune data which is also an in-the-wild dataset. Sorry for any inconvenience this may cause.

Source context: 0 downloads · 0 likes · Pipeline text-to-speech · Repo dev-rexpro/masbro-f5-tts