hmm_tts_build
a direct repository for building and using a "simple" tts (by kastnerkyle)
tacotron2
Tacotron 2 - PyTorch implementation with faster-than-realtime inference (by NVIDIA)
| hmm_tts_build | tacotron2 | |
|---|---|---|
| 1 | 29 | |
| 2 | 4,901 | |
| - | 0.7% | |
| 1.8 | 0.0 | |
| about 2 years ago | 4 months ago | |
| Shell | Jupyter Notebook | |
| - | BSD 3-clause "New" or "Revised" License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
hmm_tts_build
Posts with mentions or reviews of hmm_tts_build.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-09-25.
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Speech Synthesis on Linux
A nice enhancement for the system is having TTS read out the currently selected text, triggered by a key shortcut.
I tried festival and it too complicated and my version was too to run the better voices model.
Instead I've used this repo to use upgraded flite: https://github.com/kastnerkyle/hmm_tts_build/
I have mapped keyboard shortcuts Win+1 for normal speed, Win+2 for faster and Win+3 for really fast reading speed. I can use it while reading, to enhance my focus. Neat.
tacotron2
Posts with mentions or reviews of tacotron2.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-05-01.
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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?
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[D] The model used in the AI generated Jay-z vocals
Which might use https://github.com/NVIDIA/tacotron2 in their backend
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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.
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Sauron be spitting bars
Maybe we can use AI to hear this rapped by a famous rapper?
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Kerfuś
Sadly GothicBot the TTS I knew, doesn't exist anymore, but here is an alternative. It works in polish from what I heard.
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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.
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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.
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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)