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from typing import Any, Optional
import numpy as np
import parselmouth
from .f0 import F0Predictor
class PM(F0Predictor):
def __init__(self, hop_length=512, f0_min=50, f0_max=1100, sampling_rate=44100):
super().__init__(hop_length, f0_min, f0_max, sampling_rate)
def compute_f0(
self,
wav: np.ndarray,
p_len: Optional[int] = None,
filter_radius: Optional[int] = 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")
return self._interpolate_f0(f0)[0]
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