blob: 698244c314c0a2edcd912b8d08050deb6c878766 (
plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
|
import numpy
from .acoustic_converter import AcousticConverter
from .data_struct import AcousticFeature
from .super_resolution import SuperResolution
class VoiceChanger(object):
def __init__(
self,
acoustic_converter: AcousticConverter,
super_resolution: SuperResolution,
output_sampling_rate: int = None,
) -> None:
if output_sampling_rate is None:
output_sampling_rate = super_resolution.config.dataset.param.voice_param.sample_rate
self.acoustic_converter = acoustic_converter
self.super_resolution = super_resolution
self.output_sampling_rate = output_sampling_rate
def convert_from_acoustic_feature(self, f_in: AcousticFeature):
f_low = self.acoustic_converter.convert_to_feature(f_in)
s_high = self.super_resolution.convert(f_low.spectrogram.astype(numpy.float32))
f_high = self.super_resolution.convert_to_feature(s_high, f_low)
return f_high
|
