vits
tacotron2
vits | tacotron2 | |
---|---|---|
6 | 29 | |
6,324 | 4,912 | |
- | 0.9% | |
0.0 | 0.0 | |
5 months ago | 5 months ago | |
Python | Jupyter Notebook | |
MIT License | BSD 3-clause "New" or "Revised" License |
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.
vits
-
[D] TTS systems to download & run offline
And the voice encapsulation system VITS https://github.com/jaywalnut310/vits
- [D] What is the best open source text to speech model?
- githubで公開されている音声自動生成AI、日本のアニメキャラ2890名分の音声を学習素材に超速度で進化中
- 日本語英語中国語を読み上げできる音声自動生成AIがgithubで公開され話題に
- Adversarial Learning for End-to-End Text-to-Speech
- [R] Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech
tacotron2
-
ESpeak-ng: speech synthesizer with more than one hundred languages and accents
The quality also depends on the type of model. I'm not really sure what ESpeak-ng actually uses? The classical TTS approaches often use some statistical model (e.g. HMM) + some vocoder. You can get to intelligible speech pretty easily but the quality is bad (w.r.t. how natural it sounds).
There are better open source TTS models. E.g. check https://github.com/neonbjb/tortoise-tts or https://github.com/NVIDIA/tacotron2. Or here for more: https://www.reddit.com/r/MachineLearning/comments/12kjof5/d_...
- [D] What is the best open source text to speech model?
-
[D] The model used in the AI generated Jay-z vocals
Which might use https://github.com/NVIDIA/tacotron2 in their backend
-
Can anyone reccomend any free voice cloning software/websites even if it provided limited word options
One thing is uberduck.ai but I think it's freemium (it's free but some features are premium). There's also tacotron 2.0 and its pytorch page. Many other softwares on sub but tacotron gave this and this and this.
-
Sauron be spitting bars
Maybe we can use AI to hear this rapped by a famous rapper?
-
Kerfuś
Sadly GothicBot the TTS I knew, doesn't exist anymore, but here is an alternative. It works in polish from what I heard.
-
How far are we from being able to clone a singers voice?
From what I’ve seen, NVIDIA’s Tacotron2 can already be used to create some pretty convincing singing.
-
Is it possible to make compelling synthesized speech with fairly low-quality recordings?
You might want to try something like Tacotron 2 by Nvidia to experiment with your current data.
-
What voice-changing apps are available right now?
We have the TorToiSe repo, the SV2TTS repo, and from here you have the other models like Tacotron 2, FastSpeech 2, and such. A there is a lot that goes into training a baseline for these models on the LJSpeech and LibriTTS datasets. Fine tuning is left up to the user.
- The OG (OC)
What are some alternatives?
tortoise-tts - A multi-voice TTS system trained with an emphasis on quality
tortoise-tts-fast - Fast TorToiSe inference (5x or your money back!)
Voice-Cloning-App - A Python/Pytorch app for easily synthesising human voices
Parallel-Tacotron2 - PyTorch Implementation of Google's Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling
Real-Time-Voice-Cloning - Clone a voice in 5 seconds to generate arbitrary speech in real-time
vall-e - An unofficial PyTorch implementation of the audio LM VALL-E
TTS - 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
tacotron - A TensorFlow implementation of Google's Tacotron speech synthesis with pre-trained model (unofficial)
NeMo - A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
glow-tts - A Generative Flow for Text-to-Speech via Monotonic Alignment Search
waveglow - A Flow-based Generative Network for Speech Synthesis