You can deploy this model and start earning money today!

mesolitica/
Malaysian-F5-TTS-v3

Name: Malaysian-F5-TTS-v3
Availability: InStock

Views

No views yet

Full Parameter Finetuning Malaysian Emilia F5-TTS v3

Continue training from SWivid/F5-TTS F5TTS_v1_Base checkpoint on Malaysian-Emilia,

with total 15631 hours included 600 hours Mandarin sampled from amphion/Emilia-Dataset.

We uploaded full checkpoints with optimizer states at checkpoints.

You can use Gradio app from official F5-TTS,

bash

git clone https://github.com/SWivid/F5-TTS
cd F5-TTS
GRADIO_SERVER_NAME="0.0.0.0" python3 src/f5_tts/infer/infer_gradio.py

After that, use hf://mesolitica/Malaysian-F5-TTS-v3/checkpoints/model_220000.pt in custom model path,

The model able to generate filler such as erm, uhm if the reference speaker also has the filler.
The model able to generate emotion representation if the reference speaker also has the same emotion.
The model able to generate multi-lingual (malay, local english and mainland Mandarin) plus context switching even though the reference speaker is mono-speaker.