pumpp.feature.FeatureExtractor

class pumpp.feature.FeatureExtractor(name, sr, hop_length, conv=None)

The base feature extractor class.

Attributes:

name : str

The name for this feature extractor

sr : number > 0

The sampling rate of audio for analysis

hop_length : int > 0

The hop length between analysis frames

conv : {‘tf’, ‘th’, ‘channels_last’, ‘channels_first’, None}

convolution dimension ordering:

• ‘channels_last’ for tensorflow-style 2D convolution
• ‘tf’ equivalent to ‘channels_last’
• ‘channels_first’ for theano-style 2D convolution
• ‘th’ equivalent to ‘channels_first’
• None for 1D or non-convolutional representations

__init__(name, sr, hop_length, conv=None)

Initialize self. See help(type(self)) for accurate signature.

Methods

__init__(name, sr, hop_length[, conv])	Initialize self.
layers()	Construct Keras input layers for the given transformer
merge(data)	Merge an array of output dictionaries into a single dictionary with properly scoped names.
n_frames(duration)	Get the number of frames for a given duration
phase_diff(phase)	Compute the phase differential along a given axis
pop(field)
register(key, dimension, dtype[, channels])	Register a field as a tensor with specified shape and type.
scope(key)	Apply the name scope to a key
transform(y, sr)	Transform an audio signal
transform_audio(y)

Attributes

idx