| import numpy as np
|
| import parselmouth
|
|
|
| from infer.lib.infer_pack.modules.F0Predictor.F0Predictor import F0Predictor
|
|
|
|
|
| class PMF0Predictor(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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| 对F0进行插值处理
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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]
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| last_value = data[i]
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|
|
| return ip_data[:, 0], vuv_vector[:, 0]
|
|
|
| def compute_f0(self, wav, p_len=None):
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| x = wav
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| if p_len is None:
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| p_len = x.shape[0] // self.hop_length
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| else:
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| assert abs(p_len - x.shape[0] // self.hop_length) < 4, "pad length error"
|
| time_step = self.hop_length / self.sampling_rate * 1000
|
| f0 = (
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| parselmouth.Sound(x, self.sampling_rate)
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| .to_pitch_ac(
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| time_step=time_step / 1000,
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| voicing_threshold=0.6,
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| pitch_floor=self.f0_min,
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| pitch_ceiling=self.f0_max,
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| )
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| .selected_array["frequency"]
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| )
|
|
|
| pad_size = (p_len - len(f0) + 1) // 2
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| if pad_size > 0 or p_len - len(f0) - pad_size > 0:
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| f0 = np.pad(f0, [[pad_size, p_len - len(f0) - pad_size]], mode="constant")
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| f0, uv = self.interpolate_f0(f0)
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| return f0
|
|
|
| def compute_f0_uv(self, wav, p_len=None):
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| x = wav
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| if p_len is None:
|
| p_len = x.shape[0] // self.hop_length
|
| else:
|
| assert abs(p_len - x.shape[0] // self.hop_length) < 4, "pad length error"
|
| time_step = self.hop_length / self.sampling_rate * 1000
|
| f0 = (
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| parselmouth.Sound(x, self.sampling_rate)
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| .to_pitch_ac(
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| time_step=time_step / 1000,
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| voicing_threshold=0.6,
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| pitch_floor=self.f0_min,
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| pitch_ceiling=self.f0_max,
|
| )
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| .selected_array["frequency"]
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| )
|
|
|
| pad_size = (p_len - len(f0) + 1) // 2
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| if pad_size > 0 or p_len - len(f0) - pad_size > 0:
|
| f0 = np.pad(f0, [[pad_size, p_len - len(f0) - pad_size]], mode="constant")
|
| f0, uv = self.interpolate_f0(f0)
|
| return f0, uv
|
|
|
