A robust audio fingerprinter based on pitch class histograms: applications for ethnic music archives
Joren Six, Olmo Cornelis · Ghent University Academic Bibliography (Ghent University) · 2012
In this paper we present a new acoustic fingerprinting system, based on pitch class histograms. The aim of acoustic fingerprinting is to generate a small representation of an audio signal that can be used to identify identical, or recognize similar, audio snippets in a large audio set. A robust fingerprint generates similar fingerprints for perceptually similar audio signals. A piece of music with a noise added should generate an almost identical fingerprint as the original. The new system, presented here, has some interesting features which makes it a valuable tool to manage ethnic music archives: the fingerprints are rather robust against pitch shift, tempo changes, several synthetic audio effects, and reversal of the audio. To some degree, the system even keeps working when only part of the audio is used to generate the fingerprint.