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import numpy as np
import pyworld
from modules.F0Predictor.F0Predictor import F0Predictor
class HarvestF0Predictor(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
self.name = "harvest"
def interpolate_f0(self,f0):
'''
对F0进行插值处理
'''
vuv_vector = np.zeros_like(f0, dtype=np.float32)
vuv_vector[f0 > 0.0] = 1.0
vuv_vector[f0 <= 0.0] = 0.0
nzindex = np.nonzero(f0)[0]
data = f0[nzindex]
nzindex = nzindex.astype(np.float32)
time_org = self.hop_length / self.sampling_rate * nzindex
time_frame = np.arange(f0.shape[0]) * self.hop_length / self.sampling_rate
if data.shape[0] <= 0:
return np.zeros(f0.shape[0], dtype=np.float32),vuv_vector
if data.shape[0] == 1:
return np.ones(f0.shape[0], dtype=np.float32) * f0[0],vuv_vector
f0 = np.interp(time_frame, time_org, data, left=data[0], right=data[-1])
return f0,vuv_vector
def resize_f0(self,x, target_len):
source = np.array(x)
source[source<0.001] = np.nan
target = np.interp(np.arange(0, len(source)*target_len, len(source))/ target_len, np.arange(0, len(source)), source)
res = np.nan_to_num(target)
return res
def compute_f0(self,wav,p_len=None):
if p_len is None:
p_len = wav.shape[0]//self.hop_length
f0, t = pyworld.harvest(
wav.astype(np.double),
fs=self.hop_length,
f0_ceil=self.f0_max,
f0_floor=self.f0_min,
frame_period=1000 * self.hop_length / self.sampling_rate,
)
f0 = pyworld.stonemask(wav.astype(np.double), f0, t, self.fs)
return self.interpolate_f0(self.resize_f0(f0, p_len))[0]
def compute_f0_uv(self,wav,p_len=None):
if p_len is None:
p_len = wav.shape[0]//self.hop_length
f0, t = pyworld.harvest(
wav.astype(np.double),
fs=self.sampling_rate,
f0_floor=self.f0_min,
f0_ceil=self.f0_max,
frame_period=1000 * self.hop_length / self.sampling_rate,
)
f0 = pyworld.stonemask(wav.astype(np.double), f0, t, self.sampling_rate)
return self.interpolate_f0(self.resize_f0(f0, p_len))
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