Mirrors/Retrieval-based-Voice-Conversion-WebUI
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Format code (#727)

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2023-07-13 14:35:24 +08:00
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parent 6c13f1fe52
commit 9739f3085d
5 changed files with 418 additions and 184 deletions
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10
vc_infer_pipeline.py
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@@ -1,10 +1,11 @@
import numpy as np, parselmouth, torch, pdb,sys,os
import numpy as np, parselmouth, torch, pdb, sys, os
from time import time as ttime
import torch.nn.functional as F
import scipy.signal as signal
import pyworld, os, traceback, faiss, librosa, torchcrepe
from scipy import signal
from functools import lru_cache
now_dir = os.getcwd()
sys.path.append(now_dir)
@@ -127,10 +128,13 @@ class VC(object):
f0[pd < 0.1] = 0
f0 = f0[0].cpu().numpy()
elif f0_method == "rmvpe":
if(hasattr(self,"model_rmvpe")==False):
if hasattr(self, "model_rmvpe") == False:
from rmvpe import RMVPE
print("loading rmvpe model")
self.model_rmvpe = RMVPE("rmvpe.pt",is_half=self.is_half, device=self.device)
self.model_rmvpe = RMVPE(
"rmvpe.pt", is_half=self.is_half, device=self.device
)
f0 = self.model_rmvpe.infer_from_audio(x, thred=0.03)
f0 *= pow(2, f0_up_key / 12)
# with open("test.txt","w")as f:f.write("\n".join([str(i)for i in f0.tolist()]))