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# tacotron-2-support
  • j

    Justin

    11/21/2022, 4:22 AM
    CPU Synthesis: https://colab.research.google.com/github/justinjohn0306/FakeYou-Tacotron2-Notebook/blob/main/Latest_Tacotron2_and_HiFi_GAN.ipynb
  • t

    TheWu-Cepticon

    11/21/2022, 4:23 AM
    thank you👍
  • j

    Justin

    11/21/2022, 4:23 AM
    np
  • a

    AhmadGT

    11/21/2022, 9:09 AM
    Okay Thanks!
  • f

    Floofy

    11/21/2022, 7:33 PM
    Following the tutorial ^^ still curious on which would be easier to use, legacy or pipeline?
  • a

    AhmadGT

    11/21/2022, 8:22 PM
    i don't find either of them hard
  • a

    AhmadGT

    11/21/2022, 8:23 PM
    just follow the instructions and you will be good to go
  • a

    AhmadGT

    11/21/2022, 8:23 PM
    also use the pipeline its better
  • f

    Floofy

    11/21/2022, 8:34 PM
    tysm!
  • d

    Deleted User

    11/21/2022, 11:51 PM
    if someone sends me a model link (the long tacotron ID) , can I download it and save it?
  • g

    Gosmokeless28

    11/21/2022, 11:55 PM
    Yeah
  • d

    Deleted User

    11/21/2022, 11:56 PM
    how do I do that
  • g

    Gosmokeless28

    11/21/2022, 11:56 PM
    Do you have a Google Drive link to a Tacotron 2 model?
  • d

    Deleted User

    11/21/2022, 11:56 PM
    yeah
  • g

    Gosmokeless28

    11/21/2022, 11:57 PM
    Press the ⬇️ download button in the top right corner
  • r

    realyp19

    11/21/2022, 11:58 PM
    ok cool, so now even if the person who sent it deletes their model it'll still be useable?
  • d

    Deleted User

    11/22/2022, 2:30 AM
    thank you
  • g

    Gosmokeless28

    11/22/2022, 2:30 AM
    No problem
  • t

    tylerdurdenceketi

    11/22/2022, 6:54 PM
    hello what is the difference between arpabet 1.0 vs 0.0 i am training a non english model
  • r

    Reclezon

    11/22/2022, 7:02 PM
    Arpabet is just a text format for American English pronunciation. Other languages don't really need it it also converts the regular tezt (like this message) into arpz
  • t

    tylerdurdenceketi

    11/22/2022, 7:40 PM
    thanks do you have any advice for my training? i have created a dataset from mozilla common voice restored wav files with voice fixer used preprocess_audio.py loss is staying at 0.30 what can i do?
  • t

    tylerdurdenceketi

    11/22/2022, 7:40 PM
    i am using ipa transcription btw
  • r

    Reclezon

    11/22/2022, 8:00 PM
    I haven't made any models that use IPA so far, but the loss is normal, if it doesn't change after however many epochs you feel, start with just checking the settings you're training with, or if you're using a large dataset, make sure the transcript is right, although larger datasets do take longer to train
  • r

    Reclezon

    11/22/2022, 8:22 PM
    The reason * say check the transcript is for any misspellings that could cause a model to become confused, I've had that happen before.
  • t

    tylerdurdenceketi

    11/22/2022, 8:40 PM
    I have 10k wav files in the dataset I can't check that shit i think I have tried batch size of 8, 32, 64 and 128 Is it better to have smaller batch size for better generalization or larger batch for faster training?
  • m

    matty1406

    11/22/2022, 8:42 PM
    batch size should be small, and it's better to make sure it's a number that can be divided by the amount of wavs to make sure it goes through them all... unless of course the amount is a prime number...
  • t

    tylerdurdenceketi

    11/22/2022, 8:44 PM
    Thanks Before i turned off sample inference and validation, sample inference graph was good. Diagonal and yellow pixels in it Then after one epoch it leaned left I have always paid attention to sample inference graph. Is it wrong?
  • r

    Reclezon

    11/22/2022, 11:06 PM
    It's fine that if one epoch looks like a mess, but as long as the average like a yellow diagonal line then the model will be good
  • r

    Reclezon

    11/22/2022, 11:07 PM
    Sole inference graph shouldn't be wrong, but also shouldn't be the only graph you look at, either.
  • r

    Reclezon

    11/22/2022, 11:10 PM
    Some models just do better or worse with some sentences
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