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# machine-learning
  • h
    torchmoji only looks at the text to figure out the emotion
  • h
    it worked for 15.ai but i haven't seen it work for us, maybe because we don't have enough data
  • m
    too bad 15.ai dont let community create their own model
  • u
    because 15 is a giant multispeaker
  • u
    even if he wanted to with how it’s currently laid out he physically cannot
  • c
    I were fiddling with soft-vc trying to fine tune/train an acoustic model but it asked for a lengths.json file, does anyone know what is it?
  • c
    I think that's probably the length of every audio file, but I ain't sure
  • e
    There seems to be a weird error.... Controllable TalkNet doesn't allow me to analyze more than 1 audio file...
  • e
    Even when I already removed the "Test1" audio and I only have the "Test2" one, the "Test1" sound is still there...
  • t
    I think #994486437883936809 would be a better channel to discuss this.
  • e
    Okay...
  • c
    Copy code
    import torch

device = "cuda"
model = torch.load({model_path}, map_location=device)
model = (model['state_dict']['embedding.weight'].size())
print(model)
    Thank you so much 🙏
  • c
    Welp, this works with legacy models, but 'state_dict' isn't on Pipeline models
  • c
    I changed to 'model' and it worked fine
  • h
    YOOOOOOO
  • j
    i need help on this its taking long to load the reference audio
  • j
    is there any way to fix this pls
  • u
    Is the reference audio longer than 15 seconds
  • j
    yeah
  • j
    its short
  • j
    11 seconds not 15
  • u
    Ah maybe that voice is just struggling then Are you having trouble with other voices?
  • j
    and its still taking long time to load
  • j
    i used like vocals
  • j
    idk how to work this thing
  • u
    Test another voice on uberduck to see if that one loads If it does, it's a problem with this voice
  • j
    is there any link to isolate the vocals or like website to isolate vocals
  • u
    x-minus.pro is good
  • u
    So is mvsep.com
  • j
    i used mvsep demucus version
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