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From the title I expected this would be like talk radio (like NotebookLM style) discussion of random wiki pages.
I get why you added the static noise sound between clips but that gets annoying real quick.
Earlier quoted context omitted.
Using an "AI" (LLM) enhanced TTS adds in tone and other markers to let the underlying TTS sound much more natural. You can then double down with an ML tuned TTS to get a more natural voice.
What's an example of that? Anytging I can run locally?
I get why you added the static noise sound between clips but that gets annoying real quick.
Had some Japanese song pass by and all the letters were vertically arranged (as is tradition), which made it impossible to find out what artist it was.
I love this, and I don’t mean to throw any shade on it, but this is kind of thing I’d the best to come out of the ”vibe coding” revolution. I don’t know if this was vibe coded, but what I mean to say is that there are a million things that you just never get around to doing, and LLMs help you to actually _realize_ little cool ideas like this.
Earlier quoted context omitted.
What's an example of that? Anytging I can run locally?
A paid product, but https://elevenlabs.io/ does it pretty well. There is some work on open source versions you can run locally, they work reasonably well, but I haven't kept up with the FOSS field in several months, so I'm unsure which is currently best
I assumed each "track" is an 5-minute audio summary (LLM+TTS) of a random text ARTICLE from Wikipedia.
Apparently I was mistaken and these are actually random MEDIA uploaded to Wikipedia.
Now I have an idea for a weekend project :)
EDIT:
https://commons.wikimedia.org/wiki/File:Philosophical_Razors...
Apparently it was not a summary but the full article: https://en.wikipedia.org/wiki/Philosophical_razor
EDIT2:
Index of all spoken articles on Wikipedia: https://en.wikipedia.org/wiki/Wikipedia:Spoken_articles
EDIT3:
Here is my 10-minute vibe-coded implementation of "Wikipedia Radio" for spoken articles (no LLM or TTS at runtime here) -- https://d3rfhwexohg7ag.cloudfront.net/wikipedia-radio.html