Retrain of my Harvest Model of Tommyinnit
Used
MVSEP:(BS-Roformer - MelBand Karaoke - Reverb Removal BS)
RX 10(De Crackle - De Ess - Voice De Noise - Normalize -3.00 - EQ)
Audacity(Truncated Silence - Noise Gate - T De Esser)
Dataset:8 Minutes 30 Seconds
Trained & Tested On Applio(Kaggle)
Recorded Vocals From The Karaoke Stream(Twitch)
Mic Used From Tommyinnit:AKG P120 Studio Condenser XLR
https://huggingface.co/notiscBalbalEko/myrvcmodel/resolve/main/TommyinnitSingingRetrain_1100e_7700s.zip?download=true
#Tommyinnit(Singing Voice)(RVC V2)(RMVPE)(Original)(1100 Epochs - 7700 Steps)(32k)
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Forgot to put this :p
you tried klm 4.1? it may help the model when it reaches high notes :p
it's just a suggestion, I'm not forcing ya to use it
tommy's voice is raspy cuz of his mic that's why it voice cracks
probably, rarely can be the pitch extraction algorithm (rmvpe) with the possiblity of voice cracks
voice cracks mostly appear on mangio-crepe / crepe but yea it can depend, or its ur dataset or its the pitch extraction :p
anyways 4 star model
is not because the pitch extraction, is because his model voice range is low and he is trying to make the model sing notes the dataset doesnt have
thats why samples of dis model are with voice cracks?
yes
he probably should use klm 4.1 to fix this if im not wrong
since klm 4 = more vocal range ?
more voice range true but models have voice cracks when the model tries to do a sound the dataset lacks, so klm is not gonna fix the voice cracks, is just going to make them appear less when the model is singing high notes (this is literally the intended purpose of klm)
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