pumpp.feature.TempoScale

class pumpp.feature.TempoScale(name, sr, hop_length, win_length, n_fmt=128, conv=None)

Tempogram scale transform.

Mellin scale transform magnitude of the Tempogram.

Attributes:

name : str

Name of this extractor

sr : number > 0

Sampling rate of audio

hop_length : int > 0

Hop length for analysis frames

win_length : int > 0

Number of frames per analysis window

n_fmt : int > 0

Number of scale coefficients to retain

__init__(name, sr, hop_length, win_length, n_fmt=128, conv=None)

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

Methods

__init__(name, sr, hop_length, win_length[, …])	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)	Apply the scale transform to the tempogram

Attributes

idx