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DMR: Deep and Soft Voice Improvement Pretrain for RVC

Model description

DMR is a pretrain designed to improve soft and deep voices.

Intended uses

  • Improve voice conversion quality, especially for soft and deep voices
  • Enhance breathing sounds (and eventually whispering) in voice conversion
  • Make better E-girl and Mommy voices :3

Training data

The model was trained on a custom dataset with the following details:

  • Total duration: 11.3 hours
  • Language: English
  • Number of speakers: 22
    • 16 female speakers
    • 6 male speakers

Training Process

DMR was trained with Applio using a RTX 4060TI 16gb.

  • BatchSize: 8
  • Pitch Extraction Method: Mangio-Crepe
  • Hop Length: 32
  • Sample Rate: 32K

Usage

To use the DMR pretrain:

  1. Download both the D and G files of the DMR model.
  2. For standard RVC setup:
    • Place the downloaded files in the pretrained_v2 folder.
  3. For Applio users:
    • Place the downloaded files in the custom pretrains folder.

Additional Information

I do plan to make a V2 of DMR with around 40 hours of speech using a newer GAN but I do not have a release date.

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Inference Examples
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