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mirror of https://github.com/fumiama/Retrieval-based-Voice-Conversion-WebUI.git synced 2026-06-10 21:24:16 +08:00

optimize(rvc.onnx): add types defs

This commit is contained in:
源文雨
2024-06-06 01:01:59 +09:00
parent f60bebe89c
commit 6e8feb9028
6 changed files with 123 additions and 214 deletions

View File

@@ -1,55 +1,15 @@
import numpy as np
import parselmouth
import typing
from .f0 import F0Predictor
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
super().__init__(hop_length, f0_min, f0_max, 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):
def compute_f0(self, wav: np.ndarray[typing.Any, np.dtype], p_len: int | None = None):
x = wav
if p_len is None:
p_len = x.shape[0] // self.hop_length
@@ -70,10 +30,10 @@ class PMF0Predictor(F0Predictor):
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)
f0, uv = self.__interpolate_f0(f0)
return f0
def compute_f0_uv(self, wav, p_len=None):
def compute_f0_uv(self, wav: np.ndarray[typing.Any, np.dtype], p_len: int | None = None):
x = wav
if p_len is None:
p_len = x.shape[0] // self.hop_length
@@ -94,5 +54,5 @@ class PMF0Predictor(F0Predictor):
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)
f0, uv = self.__interpolate_f0(f0)
return f0, uv