def __init__(self,
name='FrequencyMasking_Aug',
zone=(0.2, 0.8),
coverage=1.,
factor=(40, 80),
verbose=0,
silence=False,
stateless=True):
super().__init__(action=Action.SUBSTITUTE,
zone=zone,
coverage=coverage,
factor=factor,
verbose=verbose,
name=name,
silence=silence,
stateless=stateless)
if self.factor[0] < 0 and not self.silence:
Logger.log().warning(
'Lower bound of factor is less than {}.'.format(0) +
' It should be non-negative value. Will use 0 as lower bound.')
self.model = nms.FrequencyMasking()
def get_model(cls, mask_factor):
return nms.FrequencyMasking(mask_factor)