modules/F0Predictor/PMF0Predictor.py

from 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