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https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI.git
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Format code (#384)
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
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@@ -2,26 +2,27 @@ from infer_pack.modules.F0Predictor.F0Predictor import F0Predictor
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import pyworld
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import numpy as np
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class DioF0Predictor(F0Predictor):
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def __init__(self,hop_length=512,f0_min=50,f0_max=1100,sampling_rate=44100):
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def __init__(self, hop_length=512, f0_min=50, f0_max=1100, sampling_rate=44100):
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self.hop_length = hop_length
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self.f0_min = f0_min
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self.f0_max = f0_max
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self.sampling_rate = sampling_rate
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def interpolate_f0(self,f0):
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'''
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def interpolate_f0(self, f0):
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"""
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对F0进行插值处理
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'''
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"""
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data = np.reshape(f0, (f0.size, 1))
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vuv_vector = np.zeros((data.size, 1), dtype=np.float32)
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vuv_vector[data > 0.0] = 1.0
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vuv_vector[data <= 0.0] = 0.0
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ip_data = data
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frame_number = data.size
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last_value = 0.0
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for i in range(frame_number):
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@@ -42,21 +43,25 @@ class DioF0Predictor(F0Predictor):
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for k in range(i, frame_number):
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ip_data[k] = last_value
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else:
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ip_data[i] = data[i] #这里可能存在一个没有必要的拷贝
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ip_data[i] = data[i] # 这里可能存在一个没有必要的拷贝
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last_value = data[i]
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return ip_data[:,0], vuv_vector[:,0]
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def resize_f0(self,x, target_len):
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return ip_data[:, 0], vuv_vector[:, 0]
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def resize_f0(self, x, target_len):
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source = np.array(x)
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source[source<0.001] = np.nan
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target = np.interp(np.arange(0, len(source)*target_len, len(source))/ target_len, np.arange(0, len(source)), source)
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source[source < 0.001] = np.nan
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target = np.interp(
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np.arange(0, len(source) * target_len, len(source)) / target_len,
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np.arange(0, len(source)),
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source,
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)
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res = np.nan_to_num(target)
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return res
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def compute_f0(self,wav,p_len=None):
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def compute_f0(self, wav, p_len=None):
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if p_len is None:
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p_len = wav.shape[0]//self.hop_length
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p_len = wav.shape[0] // self.hop_length
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f0, t = pyworld.dio(
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wav.astype(np.double),
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fs=self.sampling_rate,
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@@ -69,9 +74,9 @@ class DioF0Predictor(F0Predictor):
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f0[index] = round(pitch, 1)
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return self.interpolate_f0(self.resize_f0(f0, p_len))[0]
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def compute_f0_uv(self,wav,p_len=None):
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def compute_f0_uv(self, wav, p_len=None):
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if p_len is None:
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p_len = wav.shape[0]//self.hop_length
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p_len = wav.shape[0] // self.hop_length
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f0, t = pyworld.dio(
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wav.astype(np.double),
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fs=self.sampling_rate,
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