README.md

---
license: openrail
pipeline_tag: audio-to-audio
tags:
- pretrained
- RVC
- ai
- voice-cloning
- voice-conversion
- Voice2Voice
---

# 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 30 hours of speech using either BIGVGAN V2 or EVAGAN but I do not have a release date.