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POST-EDIT, CORRECTED ANSWER I doubt it's currently actually "the best open source text to speech", but the answer I came up with when throwing a couple of hours at the problem some months ago was "ttsprech" [3]. Following the guide, it was pretty trivial to make the model render my sample text in about 100 English "voices" (many of which were similar to each other, and in varying quality). Sampling those, I got about 10 that were pretty "good". And maybe 6 that were the "best ones" (very natural, not annoying to listen to, actually sounded like a person by and large), and maybe 2 made the top (as in, a tossup for the most listenable, all factors considered). IIRC, the license was free for noncommercial use only. I'm not sure exactly "how open source" they are, but it was simple to install the dependencies and write the basic Python to try it out; I had to write a for loop to try all the voices like I wanted. I ended using something else for the project for other reasons, but this could still be a fairly good backup option for some use cases, IMO. PRE-EDIT, ERRONEOUS ANSWER Same as above, but I had said "Silero" [0, 1, 2] originally, which I started trying out too, before switching to a third (less open) option. [0] https://github.com/snakers4/silero-models#text-to-speech
[1] https://silero.ai
[2] https://github.com/snakers4/silero-models#standalone-use
[3] https://github.com/Grumbel/ttsprech#usage
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