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| from infer_pack.modules.F0Predictor.F0Predictor import F0Predictor | |
| import parselmouth | |
| import numpy as np | |
| class PMF0Predictor(F0Predictor): | |
| def __init__(self, hop_length=512, f0_min=50, f0_max=1100, sampling_rate=44100): | |
| self.hop_length = hop_length | |
| self.f0_min = f0_min | |
| self.f0_max = f0_max | |
| self.sampling_rate = sampling_rate | |
| def interpolate_f0(self, f0): | |
| """ | |
| 对F0进行插值处理 | |
| """ | |
| data = np.reshape(f0, (f0.size, 1)) | |
| vuv_vector = np.zeros((data.size, 1), dtype=np.float32) | |
| vuv_vector[data > 0.0] = 1.0 | |
| vuv_vector[data <= 0.0] = 0.0 | |
| ip_data = data | |
| frame_number = data.size | |
| last_value = 0.0 | |
| for i in range(frame_number): | |
| if data[i] <= 0.0: | |
| j = i + 1 | |
| for j in range(i + 1, frame_number): | |
| if data[j] > 0.0: | |
| break | |
| if j < frame_number - 1: | |
| if last_value > 0.0: | |
| step = (data[j] - data[i - 1]) / float(j - i) | |
| for k in range(i, j): | |
| ip_data[k] = data[i - 1] + step * (k - i + 1) | |
| else: | |
| for k in range(i, j): | |
| ip_data[k] = data[j] | |
| else: | |
| for k in range(i, frame_number): | |
| ip_data[k] = last_value | |
| else: | |
| ip_data[i] = data[i] # 这里可能存在一个没有必要的拷贝 | |
| last_value = data[i] | |
| return ip_data[:, 0], vuv_vector[:, 0] | |
| def compute_f0(self, wav, p_len=None): | |
| x = wav | |
| 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 = ( | |
| parselmouth.Sound(x, self.sampling_rate) | |
| .to_pitch_ac( | |
| time_step=time_step / 1000, | |
| voicing_threshold=0.6, | |
| pitch_floor=self.f0_min, | |
| pitch_ceiling=self.f0_max, | |
| ) | |
| .selected_array["frequency"] | |
| ) | |
| pad_size = (p_len - len(f0) + 1) // 2 | |
| 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 | |
| def compute_f0_uv(self, wav, p_len=None): | |
| x = wav | |
| 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 = ( | |
| parselmouth.Sound(x, self.sampling_rate) | |
| .to_pitch_ac( | |
| time_step=time_step / 1000, | |
| voicing_threshold=0.6, | |
| pitch_floor=self.f0_min, | |
| pitch_ceiling=self.f0_max, | |
| ) | |
| .selected_array["frequency"] | |
| ) | |
| pad_size = (p_len - len(f0) + 1) // 2 | |
| 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 | |