drone-deploy-seg
so-vits-svc-fork
| drone-deploy-seg | so-vits-svc-fork | |
|---|---|---|
| 2 | 16 | |
| 5 | 8,338 | |
| - | 1.7% | |
| 0.0 | 9.3 | |
| over 3 years ago | 5 days ago | |
| Python | Python | |
| - | GNU General Public License v3.0 or later |
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drone-deploy-seg
so-vits-svc-fork
- Zade - Çaresizim
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Better than the original
https://github.com/voicepaw/so-vits-svc-fork Seems to be this as someone posted this link in response to a different commenter.
- If Jack Cooper and BT played on multiplayer servers
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Can someone help me explain what each of these parameters does?
There's no explaination in https://github.com/voicepaw/so-vits-svc-fork README.md sadly.
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[D] Prepared a Deep Voice Cloning tutorial by using TorToiSe TTS. Do you thin it is best available open source at the moment?
You can do speech to speech voice translation with the so-vits-fork. Make sure to turn on auto predict and run that through the adobe speech enhancer for a good final result.
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AI Hayley Williams singing High Hopes by Panic! At The Disco, mixed just like the original!
This is made with both RVC and SVC models using my own dataset. RVC is the newer technology that generally glitches much less, but it glitches in different places than SVC, so it's still useful to have the SVC model for some phrases.
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You Belong with Haachama
A quick overview of the main methods people use because they're pretty similar. There's sovits-svc, and RVC (also diff-svc but I don't think it's as widely used). Sovits has more models publicly available but RVC is catching up quick. This is all running off your local Windows PC but there's tutorials in the discord groups in the links above if you need more help or info.
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So what's being used to create these AI music tracks? Such as Biggie rapping new York state of mind?
Most people use RVC, so-vits-svc or diff-svc. I prefer RVC, it seems faster.
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Freddie Mercury singing "Yesterday" (AI Beatles cover)
So-vits - https://github.com/voicepaw/so-vits-svc-fork
- This thread is 🔥everybody’s edits are crazy! Can someone give me some insight into how y’all are creating these AI verses this shit is insane!!!
What are some alternatives?
segmentation_models.pytorch - Segmentation models with pretrained backbones. PyTorch.
RVC-GUI - Just a fork of RVC for easy audio file voice conversion locally
ultimatevocalremovergui - GUI for a Vocal Remover that uses Deep Neural Networks.
Retrieval-based-Voice-Conversion-WebUI - Easily train a good VC model with voice data <= 10 mins!
hifi-gan - HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis
so-vits-svc-fork - so-vits-svc fork with realtime support, improved interface and more features. [Moved to: https://github.com/voicepaw/so-vits-svc-fork]
diff-svc - Singing Voice Conversion via diffusion model
DL-Art-School - TorToiSe fine-tuning with DLAS
lain-voice-models - run voice model (so-vits-svc-4.0) of "Serial Experiments Lain" on Windows
awesome-modular-pytorch-lightning - LightCollections⚡️: Ready-to-use implementations such as `LightningModules` for various computer vision papers.
espnet - End-to-End Speech Processing Toolkit
ozen-toolkit - Audio datasets, easier.