def SpectrogramTransformer(mel=True, to_db=True):
"""Creates a factory for creating AudioToSpec
transforms with different parameters"""
sg_type = {"mel": mel, "to_db": to_db}
transforms = _get_transform_list(sg_type)
pipe_noargs = partial(fill_pipeline,
sg_type=sg_type,
transform_list=transforms)
pipe_noargs.__signature__ = _get_signature(transforms)
return pipe_noargs
def __init__(self, cache_folder=None, **kwargs):
item_tfms = audio_item_tfms(**kwargs)
type_tfm = partial(AudioTensor.create, cache_folder=cache_folder)
return super().__init__(type_tfms=type_tfm,
item_tfms=item_tfms,
batch_tfms=IntToFloatTensor)
def __init__(self, width=9):
self.td = partial(_torchdelta, width=width)