DMR: Deep and Soft Voice Improvement Pretrain for RVC
Model description
DMR V2 is a pretrain designed to improve soft and deep voices.
Intended uses
- Improve voice conversion quality, especially for soft and deep voices
- Enhance noise type sounds
- Make better E-girl and Mommy voices :3
Training data
The model was trained on a custom dataset with the following details:
- Total duration: 22 hours
- Language: English
- Number of speakers: 45
- 35 female speakers
- 10 male speakers
Training Process
DMR was trained with Applio using a RTX 4060TI 16gb.
- BatchSize: 14
- Pitch Extraction Method: RMVPE
- Sample Rate: 32K
- Seperated Speakers
Usage
To use the DMR pretrain:
- Download both the D and G files of the DMR model.
- For standard RVC setup:
- Place the downloaded files in the
pretrained_v2
folder.
- Place the downloaded files in the
- For Applio users:
- Place the downloaded files in the
custom pretrains
folder.
- Place the downloaded files in the
Inference Providers
NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API:
The model has no library tag.