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README.md
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- voice-conversion
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- Voice2Voice
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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.
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