Conversion#

pylstraight.f0_to_f0(f0: ndarray, in_format: str, out_format: str, fs: int = 0) → ndarray[source]#

Convert F0 between different formats.

Parameters:

f0np.ndarray [shape=(nframe,)]: The input F0.
in_format[‘inverse’, ‘linear’, ‘log’]: The format of the input F0.
out_format[‘inverse’, ‘linear’, ‘log’]: The format of the output F0.
fsint: The sampling frequency in Hz. This is required when the input or output format is inverse.

Returns:

outnp.ndarray [shape=(nframe,)]: The converted F0.

Examples

>>> import pylstraight as pyls
>>> import numpy as np
>>> f0 = np.array([100, 200, 0, 400])
>>> pyls.f0_to_f0(f0, "linear", "log")
array([ 4.60517019e+00,  5.29831737e+00, -1.00000000e+10,  5.99146455e+00])
>>> pyls.f0_to_f0(f0, "linear", "inverse", fs=16000)
array([160.,  80.,   0.,  40.])

pylstraight.ap_to_ap(ap: ndarray, in_format: str, out_format: str) → ndarray[source]#

Convert aperiodicity between different formats.

Parameters:

apnp.ndarray [shape=(nframe, nfreq)]: The input aperiodicity.
in_format[‘a’, ‘p’, ‘a/p’, ‘p/a’]: The format of the input aperiodicity.
out_format[‘a’, ‘p’, ‘a/p’, ‘p/a’]: The format of the output aperiodicity.

Returns:

outnp.ndarray [shape=(nframe, nfreq)]: The converted aperiodicity.

Examples

>>> import pylstraight as pyls
>>> import numpy as np
>>> ap = np.array([[0.3, 0.5, 0.9]])
>>> pyls.ap_to_ap(ap, "a", "p")
array([[0.7, 0.5, 0.1]])
>>> pyls.ap_to_ap(ap, "a", "a/p")
array([[0.42857143, 1.        , 9.        ]])

pylstraight.sp_to_sp(sp: ndarray, in_format: str, out_format: str) → ndarray[source]#

Convert spectrum between different formats.

Parameters:

spnp.ndarray [shape=(nframe, nfreq)]: The input spectrum.
in_format[‘db’, ‘log’, ‘linear’, ‘power’]: The format of the input spectrum.
out_format[‘db’, ‘log’, ‘linear’, ‘power’]: The format of the output spectrum.

Returns:

outnp.ndarray [shape=(nframe, nfreq)]: The converted spectrum.

Examples

>>> import pylstraight as pyls
>>> import numpy as np
>>> sp = np.array([[-10, 60, 0]])
>>> pyls.sp_to_sp(sp, "db", "linear")
array([[3.16227766e-01, 1.00000000e+03, 1.00000000e+00]])
>>> pyls.sp_to_sp(sp, "db", "log")
array([[-1.15129255,  6.90775528,  0.        ]])

Conversion#

This Page