10.1.1.2. Spectrum

This module implements spectrum analysis based on Fast Fourier Transform.

References

Efficient Pitch Detection Techniques for Interactive Music

Patricio de la Cuadra, Aaron Master, Craig Sapp Center for Computer Research in Music and Acoustics, Stanford University

class Musica.Audio.Spectrum.Spectrum(sampling_frequency, values, window='hann')

Bases: object

clone()

h_dome(height)

Extract h-dome from spectrum using Mathematical Morphology.

height : int

Minimal height of the peaks

hfs(number_of_products)

Compute the Harmonic Product Spectrum.

References

Noll, M. (1969).

Pitch determination of human speech by the harmonic product spectrum, the harmonic sum spectrum, and a maximum likelihood estimate. In Proceedings of the Symposium on Computer Processing ing Communications, pp. 779-797. Polytechnic Institute of Brooklyn.

static next_power_of_two(x)

classmethod sample_for_resolution(sampling_frequency, frequency_resolution, power_of_two=True)

__window_function__ = {'hann': <function hanning>}

decibel_power

duration

fft

frequencies

frequency_resolution

magnitude

number_of_samples

power

sample_spacing

sampling_frequency

values