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from typing import NamedTuple
import pyworld
import numpy
class Wave(NamedTuple):
wave: numpy.ndarray
sampling_rate: int
class AcousticFeature(NamedTuple):
f0: numpy.ndarray
spectrogram: numpy.ndarray
aperiodicity: numpy.ndarray
mfcc: numpy.ndarray
voiced: numpy.ndarray
def astype(self, dtype):
return AcousticFeature(
f0=self.f0.astype(dtype),
spectrogram=self.spectrogram.astype(dtype),
aperiodicity=self.aperiodicity.astype(dtype),
mfcc=self.mfcc.astype(dtype),
voiced=self.voiced.astype(dtype),
)
def astype_only_float(self, dtype):
return AcousticFeature(
f0=self.f0.astype(dtype),
spectrogram=self.spectrogram.astype(dtype),
aperiodicity=self.aperiodicity.astype(dtype),
mfcc=self.mfcc.astype(dtype),
voiced=self.voiced,
)
def validate(self):
assert self.f0.ndim == 2
assert self.spectrogram.ndim == 2
assert self.aperiodicity.ndim == 2
assert self.mfcc.ndim == 2
assert self.voiced.ndim == 2
len_time = len(self.f0)
assert len(self.spectrogram) == len_time
assert len(self.aperiodicity) == len_time
assert len(self.mfcc) == len_time
assert len(self.voiced) == len_time
assert self.voiced.dtype == numpy.bool
@staticmethod
def get_sizes(sampling_rate: int, order: int):
fft_size = pyworld.get_cheaptrick_fft_size(fs=sampling_rate)
return dict(
f0=1,
spectrogram=fft_size // 2 + 1,
aperiodicity=fft_size // 2 + 1,
mfcc=order + 1,
voiced=1,
)
class LowHighSpectrogramFeature(NamedTuple):
low: numpy.ndarray
high: numpy.ndarray
def validate(self):
assert self.low.ndim == 2
assert self.high.ndim == 2
assert self.low.shape == self.high.shape
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