hifi-gan
so-vits-svc-fork
| hifi-gan | so-vits-svc-fork | |
|---|---|---|
| 5 | 16 | |
| 1,764 | 8,338 | |
| - | 1.4% | |
| 0.0 | 9.3 | |
| 9 months ago | 2 days ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 or later |
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hifi-gan
- [D] What is the best open source text to speech model?
- I made Lisa-nee TTS (Imai Lisa)
- HiFi-GAN: Generative Adversarial Networks for Efficient and Hi-Fi Speech Synth
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[2108.13320] Neural HMMs are all you need (for high-quality attention-free TTS)
It will be interesting to see if the artefacts you noticed persist once we've trained the model for longer and switch to a better vocoder such as HiFi-GAN. (The paper and audio examples use WaveGlow since that's the default of the repository we compared ourselves to.) That said, "choppiness" sounds to me like it might be related to the temporal evolution, in which case it's something that a non-causal, convolutional post-net might be able to smooth over.
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The dangers of AI
Hey, as far as I know this paper is the current SoTA on public data that is open source. Github is here. If you are interested in really getting into speech synthesis, this page has everything (modern stuff on the bottom.)
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?
WaveRNN - WaveRNN Vocoder + TTS
RVC-GUI - Just a fork of RVC for easy audio file voice conversion locally
wavegrad - A fast, high-quality neural vocoder.
ultimatevocalremovergui - GUI for a Vocal Remover that uses Deep Neural Networks.
Parallel-Tacotron2 - PyTorch Implementation of Google's Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling
Retrieval-based-Voice-Conversion-WebUI - Easily train a good VC model with voice data <= 10 mins!
diffwave - DiffWave is a fast, high-quality neural vocoder and waveform synthesizer.
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]
TTS - 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
diff-svc - Singing Voice Conversion via diffusion model
TensorFlowTTS - :stuck_out_tongue_closed_eyes: TensorFlowTTS: Real-Time State-of-the-art Speech Synthesis for Tensorflow 2 (supported including English, French, Korean, Chinese, German and Easy to adapt for other languages)
DL-Art-School - TorToiSe fine-tuning with DLAS