| from lib.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] |
| 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 |
|
|
