Skip to content

AI-Singing-Voice-Conversion/SVC

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

34 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Singing Voice Conversion

Video Label

People

Language / IDE

Dataset

  • Voice: Yeongjin Kim
  • 2 hours audio file (15 minutes of speaking & 1 hour 45 minutes of singing)
  • Mono channel 16bit 44,100khz
  • .wav file
  • No backgroun sound (Noise removal)
  • Constant voice size
  • The tone is constant, but the range is varied
  • Voice volume normalize
  • Split by 10 seconds (650 audio files)

Model

  • DDSP-SVC
    • New open source singing voice conversion project dedicated to the development of free AI voice changer software that can be popularized on personal computers.
    • Its training and synthesis have much lower requirements for computer hardware
    • The training time can be shortened by orders of magnitude, which is close to the training speed of RVC.
    • When performing real-time voice changing, the hardware resource consumption of this project is significantly lower than that of SO-VITS-SVC,but probably slightly higher than the latest version of RVC.

ㅤㅤㅤ


  • RVC
    • Reduce tone leakage by replacing the source feature to training-set feature using top1 retrieval.
    • Easy and fast training, even on relatively poor graphics cards.
    • Training with a small amount of data also obtains relatively good results (>=10min low noise speech recommended)
    • Supporting model fusion to change timbres (using ckpt processing tab->ckpt merge)
    • Easy-to-use Webui interface.
    • Use the UVR5 model to quickly separate vocals and instruments.

ㅤㅤㅤ

DDSP-SVC

  • NVIDIA V100 GPU
  • 10,000 Epochs
  • 4 hours 30 minutes
DDSP_YJ.-.mp4

RVC

  • NVIDIA V100 GPU
  • 600 Epochs
  • 1 hours 20 minutes
RVC_YJ.-.mp4

YouTube

Video Label

About

Singing Voice Conversion via Diffusion Models

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages