There are still people who use machine wide python installs instead of environments? Python dependency hell was already bad years ago, but today it's completely impractical to do it this way. Even on raspberries.
Anyway, I think I'll stick with Festival 1.96 for TTS. It's super fast even on my core2duo and I have exactly zero chance of getting this Python 3'ish script to run on any machine with an OS older than a handful of years.
Pretty impressive but this seems to be a staple of most AI/ML projects.
"Works on my machine" or "just use docker", although here the later doesn't even seem to be an option.