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--- |
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license: openrail |
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pipeline_tag: audio-to-audio |
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tags: |
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- pretrained |
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- RVC |
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- ai |
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- voice-cloning |
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- voice-conversion |
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- Voice2Voice |
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--- |
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# DMR: Deep and Soft Voice Improvement Pretrain for RVC |
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## Model description |
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DMR is a pretrain designed to improve soft and deep voices. |
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## Intended uses |
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- Improve voice conversion quality, especially for soft and deep voices |
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- Enhance breathing sounds (and eventually whispering) in voice conversion |
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- Make better E-girl and Mommy voices :3 |
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## Training data |
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The model was trained on a custom dataset with the following details: |
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- Total duration: 11.3 hours |
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- Language: English |
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- Number of speakers: 22 |
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- 16 female speakers |
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- 6 male speakers |
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## Training Process |
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DMR was trained with Applio using a RTX 4060TI 16gb. |
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- BatchSize: 8 |
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- Pitch Extraction Method: Mangio-Crepe |
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- Hop Length: 32 |
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- Sample Rate: 32K |
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## Usage |
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To use the DMR pretrain: |
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1. Download both the D and G files of the DMR model. |
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2. For standard RVC setup: |
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- Place the downloaded files in the `pretrained_v2` folder. |
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3. For Applio users: |
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- Place the downloaded files in the `custom pretrains` folder. |
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## Additional Information |
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I do plan to make a V2 of DMR with around 30 hours of speech using either BIGVGAN V2 or EVAGAN but I do not have a release date. |
