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

Tempogram scale transform.

Mellin scale transform magnitude of the Tempogram.

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)[source]

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


__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
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