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PaddleSpeech/deepspeech/transform/wpe.py

46 lines
1.3 KiB

from nara_wpe.wpe import wpe
class WPE(object):
def __init__(
self, taps=10, delay=3, iterations=3, psd_context=0, statistics_mode="full"
):
self.taps = taps
self.delay = delay
self.iterations = iterations
self.psd_context = psd_context
self.statistics_mode = statistics_mode
def __repr__(self):
return (
"{name}(taps={taps}, delay={delay}"
"iterations={iterations}, psd_context={psd_context}, "
"statistics_mode={statistics_mode})".format(
name=self.__class__.__name__,
taps=self.taps,
delay=self.delay,
iterations=self.iterations,
psd_context=self.psd_context,
statistics_mode=self.statistics_mode,
)
)
def __call__(self, xs):
"""Return enhanced
:param np.ndarray xs: (Time, Channel, Frequency)
:return: enhanced_xs
:rtype: np.ndarray
"""
# nara_wpe.wpe: (F, C, T)
xs = wpe(
xs.transpose((2, 1, 0)),
taps=self.taps,
delay=self.delay,
iterations=self.iterations,
psd_context=self.psd_context,
statistics_mode=self.statistics_mode,
)
return xs.transpose(2, 1, 0)