Have you tried Piper?
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Yes, but if you compare it to https://cloud.google.com/text-to-speech?hl=en (scroll down a bit and you can try it) and the Neural2 model, it sounds like shit. I mean, it's great to see that there are efforts, but it just pales in comparison.
Well, it's about as good as you're going to get right now.
Festival -- not cutting edge -- will definitely be better than your Amiga, and can handle long text. Last time I set it up, IIRC I wanted some voices generated by Tokyo University or something, which took some setting up. It'll probably be packaged in your Linux distro.
You can listen to a demo here.
https://www.cstr.ed.ac.uk/projects/festival/onlinedemo.html
It's not LLM-based.
For short snippets, offline, one can use Tortoise TTS -- which is LLM based. But it's slow and can only generate clips of a limited length. Whether it's reasonable for you will depend a lot on your application. It will let one clone -- or make a voice sounding more-or-less similar -- a voice using some sound samples from them speaking.
https://github.com/neonbjb/tortoise-tts
Examples at:
https://nonint.com/static/tortoise_v2_examples.html
I haven't used Google's, but I'd assume, given that Google is paying people to work on it full time, that whatever they've done probably sounds nicer. But, then not open source, so...shrugs