'Universidad de Sevilla - Secretariado de Recursos Audiovisuales y Nuevas Tecnologias'
Abstract
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 fingerprinting system 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. When only part of the audio is used to generate a fingerprint, the
system keeps working but retrieval performance degrades
