87 lines
3.0 KiB
Python
87 lines
3.0 KiB
Python
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 HarvestF0Predictor(F0Predictor):
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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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对F0进行插值处理
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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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if data[i] <= 0.0:
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j = i + 1
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for j in range(i + 1, frame_number):
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if data[j] > 0.0:
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break
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if j < frame_number - 1:
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if last_value > 0.0:
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step = (data[j] - data[i - 1]) / float(j - i)
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for k in range(i, j):
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ip_data[k] = data[i - 1] + step * (k - i + 1)
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else:
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for k in range(i, j):
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ip_data[k] = data[j]
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else:
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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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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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source = np.array(x)
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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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if p_len is None:
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p_len = wav.shape[0] // self.hop_length
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f0, t = pyworld.harvest(
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wav.astype(np.double),
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fs=self.hop_length,
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f0_ceil=self.f0_max,
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f0_floor=self.f0_min,
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frame_period=1000 * self.hop_length / self.sampling_rate,
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)
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f0 = pyworld.stonemask(wav.astype(np.double), f0, t, self.fs)
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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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if p_len is None:
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p_len = wav.shape[0] // self.hop_length
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f0, t = pyworld.harvest(
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wav.astype(np.double),
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fs=self.sampling_rate,
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f0_floor=self.f0_min,
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f0_ceil=self.f0_max,
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frame_period=1000 * self.hop_length / self.sampling_rate,
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)
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f0 = pyworld.stonemask(wav.astype(np.double), f0, t, self.sampling_rate)
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return self.interpolate_f0(self.resize_f0(f0, p_len))
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