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A Robust Audio Fingerprinter Based on Pitch Class Histograms Applications for Ethnic Music Archives

Opened Access A Robust Audio Fingerprinter Based on Pitch Class Histograms Applications for Ethnic Music Archives
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Autor: Six, Joren
Cornelis, Olmo
Fecha: 2012
Publicado en: Congreso Las fronteras entre los géneros. Flamenco y otras músicas de tradición oral (2012), p 191-198
ISBN/ISSN: 978-84-695-3211-9
Tipo de documento: Ponencia
Resumen: 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.
Cita: Six, J. y Cornelis, O. (2012). A Robust Audio Fingerprinter Based on Pitch Class Histograms Applications for Ethnic Music Archives. En Congreso Las fronteras entre los géneros. Flamenco y otras músicas de tradición oral (191-198), Sevilla: Universidad de Sevilla.
Tamaño: 764.5Kb
Formato: PDF

URI: https://hdl.handle.net/11441/71130

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