#How to get rid of AI vocal tone

1 messages · Page 1 of 1 (latest)

abstract elk
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theres no way to remove "ai vocal tone"

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thats impossible lmao

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it depends

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on inference

plain herald
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can i refine my inference to prevent it somehow?

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ive heard examples of almost flawless sounding ais without that sort of tonality

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i feel like there has to be something i can do to aid it

flint pilot
plain herald
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That's how it sounds using RMVPE during inferencing

swift prismBOT
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Ayo? @plain herald level 1 !!! lfg

flint pilot
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It will have less accent but will sound better

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And make sure your using clean .wav vocals

plain herald
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this is the input for inferencing, is this clean enough?

flint pilot
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Delete

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Make sure it’s wav or flac

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(Don’t convert mp3 to wav that won’t do anything)

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Audio downloaded from YouTube to compressed also

plain herald
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Yeah it is not from YouTube

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let me test with a raw wav file

flint pilot
plain herald
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I always do that using bs rofomer via UVR

flint pilot
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k

plain herald
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That is definitely an improvement, is there anything I can do to aid it more, or is that about the max I can do?

cobalt socket
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The only way to get an almost 1:1 model of an artist done is using raw vocal takes from sessions.

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At least i think so.

plain herald
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That is using raw vocal takes

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The only problem with the session is that a lot of takes are the same line repeated

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Just in a different tone or way

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Does it make sense to include that in my dataset?

cobalt socket
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As long as these are raw

plain herald
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yeah they're fully raw

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no processing at all

cobalt socket
plain herald
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I'm refusing to put some sessions in because they were recorded differently

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as in the acoustics and whatnot

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but i have a good amount of raw raw data

cobalt socket
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With less than 30 mins it should be fine if the audio is raw anyway

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But you can also use as much data as you want

plain herald
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Alrightie, sounds good!

swift prismBOT
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Ayo? @plain herald level 2 !!! lfg

plain herald
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I'll train with more data and we will see how it goes

cobalt socket
plain herald
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Of course, different variants can turn out better

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How do I know what to fine tune/change?

cobalt socket
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Only if your output sounds kinda noisy, you could double check the dataset and clean it further

plain herald
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Okay fair

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Trial and error is the way

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Thank you for your help!

plain herald
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Alright, running it with 28 minutes of raw session data

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Wish me luck

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OOPS swapped d and g

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LMAO

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we're good now

plain herald
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its slightly different

cobalt socket
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1 - i would suggest you to retrain with Titan 32k

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2 - You misplaced the paths to the G and D.

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G path is where the path to the G file would go, not D

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On G path change the D for G and on D path, G for D

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3 - Maybe you can also try retraining with KLM4 Test 2

plain herald
plain herald
cobalt socket
cobalt socket
# plain herald And this?

If your dataset got little to no noise, you can use that pretrain since it's trained with singing vocals.

plain herald
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Oh okay, I'll attempt with both tonight and I'll share my results here again

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Thank you so much for your help btw! I really appreciate it

plain herald
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trying with klm4 test 2

plain herald
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KLM4 is not working

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Will retry with titan 32k

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Nothing 32k is working

swift prismBOT
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Ayo? @plain herald level 3 !!! lfg

plain herald
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Is it the repo im using to train?

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Theres no option for 32

cobalt socket
plain herald
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I wonder why its like that

cobalt socket
plain herald
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i presume so

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thats pretty strange though haha

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alright ill retrain and share my results

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wish me luck!

cobalt socket
plain herald
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I will if needed, thank you!

plain herald
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im happy with this model :D thank you for your help!!

cobalt socket
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Wow, sounds almost real.

plain herald
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having raw sessions helped a lot

cobalt socket
plain herald
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Yup especially klm 4 v2

cobalt socket
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It's KLM4V2

plain herald
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yeah i noticed that i just followed what you said haha

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now to record in his tonality 😭

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thats gonna be a process in of itself

cobalt socket
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Also, please when showing samples don't use instrumentals.

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Delete the files where you used insts.

plain herald
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done!