metadata
license: cc-by-nc-4.0
datasets:
- mesolitica/Malaysian-Emilia
language:
- ms
- en
base_model:
- SWivid/F5-TTS
Full Parameter Finetuning Malaysian Emilia F5-TTS Speech Enhancement
Continue training from SWivid/F5-TTS on post Speech-Enhancement Malaysian-Emilia
This model should be able to zero-shot voice conversion any Malaysian and Singaporean speakers.
WanDB at https://wandb.ai/huseinzol05/CFM-TTS
Checkpoints
We uploaded full checkpoints with optimizer states for each 50k steps at full-checkpoint.
If you found out the latest checkpoint is overfitting, we have also uploaded alternative checkpoints,
- 150000 steps, huseinzol05/Malaysian-F5-TTS-150000
- 200000 steps, huseinzol05/Malaysian-F5-TTS-200000
- 250000 steps, huseinzol05/Malaysian-F5-TTS-250000
Dataset
We train on postfilter Malaysian-Emilia called Malaysian-Voice-Conversion
Source code
All source code at https://github.com/mesolitica/malaya-speech/tree/master/session/f5-tts