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# machine-learning
  • f
    luckily the real person behind that account changed their password so they'd be safe
  • a
    Oooo for custom twitch tts, might try that one later
  • a
    wait i just notice it runs on waveglow, ew nvm.
  • a
    Unless if someone willing on making program with HIFI-Gan, Twitch's api and Streamlabs api
  • a
    really can't put my finger on it but audio is coming out completely silent
  • a
    I dont recommend using waveglow tho
  • a
    Cuz it sounds shite
  • a
  • a
    Test this one instead
  • a
    will do
  • a
    cool it actually made sound
  • a
    just need to work on training now
  • a
    also what's the recommended amount of wavs for a good model
  • a
    somewhere let's say 100 or 200
  • a
    but basically, the more you have the better
  • a
    well I have about 116 files and about half of them are paragraphs that I need to break down into smaller files so should be okay
  • f
    bruh no txt files are in the dataset
  • z
    🤨 Is this normal? I don't think I've seen the graph become aligned on the first epoch.
  • h
    ig the ai likes your data
  • c
    does training still work under k80
  • c
    and that its just Really Slow and my dataset stinks
  • c
    or does it just not work at all
  • z
    I'm training it with the k80 right now. So far it's just real slow.
  • u
    how do i make an ai that sorts text aka puts it in categories
  • h
    the 4chan bronies used ibm's cloud speech recognition thing in their 
    assfap
    notebook if you wanna make own then 
    speaker diarization
    is the term to look up
  • u
    sorry i wasn't specific enough i mean like actual text, no voice stuff i just want an ai that can sort lyrics into different categories
  • h
    oh?
  • h
    i believe lstm·s were once used for that, where you'd take their memory after they pass through the text and pass that through a few more neurons to get the classification
  • h
    nowadays it's uhh bert i believe
  • h
    can bert read arbitrary-length text?
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