BeatStatistics:
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BeatStatistics
ExtensionExtension

Extracts statistics on a beat histogram

Description

A beat histogram is formed using a perceptual onset detection frontend, then leaky integrators for each of 100 periodicities. On the ensuing histogram, statistics are taken.

Class Methods

.kr

Operate feature extraction at control rate

Arguments:

fft

Output of FFT UGen

Returns:

[0] entropy of beat histogram

[1] ratio of the largest to the second largest entries in the beat histogram

[2] diversity (Simpson's D measure) of beat histogram

[3] metricity (consistency of high energy histogram entries to integer multiples or divisors of strongest entry)

Examples