LocalLLaMA

localllama@sh.itjust.works

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Welcome to LocalLLaMA! Here we discuss running and developing machine learning models at home. Lets explore cutting edge open source neural network technology together.

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Local Voiceover/Audiobook generation (infosec.pub)

submitted 1 year ago by splendoruranium@infosec.pub to c/localllama@sh.itjust.works

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I'm looking to locally generate voiceovers from text and also try to generate audiobooks. Does anyone have experience with sherpa-onnx? There also appear to be two separate frontends for Kokoro specifically dedicated for audiobook creation, but they appear to both be abandoned. Or am I barking up the completely wrong tree?
Thanks!

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[–] splendoruranium@infosec.pub [S] 3 points 1 year ago (1 child)

Thanks, that's a lot of pointers!
I'm fine with not the absolutely latest and greatest. In fact, since basically all of this is still cutting-edge I'm mainly trying to weed out the hype, the scams and the malware and at least find the somewhat well-trodden paths. It's all terribly fascinating but casually downloading month-old programs from random github repos and running cryptic docker containers with instructions that are half in Chinese and half in LLM-generated English (which still ends up too technical for me to fully understand) is kind of... stressful for me. That's just not how I usually use a computer 😅

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[–] hendrik@palaver.p3x.de 2 points 1 year ago* (last edited 1 year ago)

Yes. I also run into the same issues. I haven't had scams and malware yet. But I frequently read some news about the latest nice thing, and then I'm hyped and want to use it. But oftentimes it's a tech-demo and it would need months of additional work to make it usable for real-world applications. And then we have some companies who just dump stuff to Github. Including quite some Chinese startups and such. More than once I've downloaded something and it didn't work and it couldn't ever work because the Python code had several errors or wasn't complete. They often upload something different from what they used for their experiments or tech-demo. And then AI moves so fast, people will have moved on to the next thing before finishing the previous one. So we also end up with a lot of abandoned projects which never got to the state where they'd be useful. It's really hard in the field of AI.

(And a bit unrelated, but I'm a bit disappointed that we don't have good TTS built right into our Linux desktop. Like Kokoro, just multilingual and with an open training set, plus the right toolkit to tie it into the desktop, browser, commandline and arbitrary tools building on top of it.)

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