CODEWITHSUNDEEP
machine-learningcluster-analysisfftdata-miningaudio-analysis
themaestro
themaestro

Reputation: 14256

FFT and Music Comparison

I'm trying to play around with some music clustering algorithms, and I thought that using a feature vector consisting of basically a discretized fft (like discretize the frequencies) would be a good similarity measure. Would this even be useful? Do people know what some good audio similarity measures might be?

Upvotes: 3

Views: 498

Answers (2)

Cybercartel
Cybercartel

Reputation: 12592

You can use a hierarchical cluster like a kd-tree or a hilbert curve before you discretize. A cluster reduces the dimension complexity and change the order of the input while a fft just transform it to waves.

Upvotes: 0

Has QUIT--Anony-Mousse
Has QUIT--Anony-Mousse

Reputation: 77454

First of all, you need to decide whether you want fingerprinting (i.e. identity except for some distortion) or similarity (but not identity!) measures.

Also have a look at MFCC, bark scales and so on. There is plenty of literature out there. Go to Amazon, and grab a dedicated book on this topic.

Upvotes: 3

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