soft-vc
Soft speech units for voice conversion (by bshall)
assem-vc
Official Code for Assem-VC @ICASSP2022 (by maum-ai)
| soft-vc | assem-vc | |
|---|---|---|
| 2 | 1 | |
| 376 | 260 | |
| - | 0.4% | |
| 2.2 | 0.0 | |
| 2 months ago | about 2 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | BSD 3-clause "New" or "Revised" License |
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Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
soft-vc
Posts with mentions or reviews of soft-vc.
We have used some of these posts to build our list of alternatives
and similar projects.
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Where can I find more info on the various model files
Also been looking into CycleGANs to do "voice conversions." I found that the term "voice conversion" is a research-friendly way to say you are doing voice clones. I found this one really good and I've been quite impressed : https://github.com/bshall/soft-vc
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Divine conference of the 'sisters' :P
but Lydiasarunrat (my project-partner) had different ideas, and knew of the existence of https://github.com/bshall/soft-vc which he also slightly adjusted to get better results. The title of the work that were basing the female voice-pack conversion on: "{A Comparison of Discrete and Soft Speech Units for Improved Voice Conversion}". It's a beautiful title.. very.. Sekiro lore-friendly 🤣 - use this for Pro Shinobi whisper voice-line conversion! 😄
assem-vc
Posts with mentions or reviews of assem-vc.
We have used some of these posts to build our list of alternatives
and similar projects.
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[D] Voice modification ML: state of the art and resources
Paperswithcode has a good overview of papers/repos in this area. A pretty good recent project is assem-vc, they have a pretrained model and even a colab to try it out.
What are some alternatives?
When comparing soft-vc and assem-vc you can also consider the following projects:
silero-models - Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple
SfMLearner - An unsupervised learning framework for depth and ego-motion estimation from monocular videos
simclr - SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners