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Abstract: The majority of work in music information retrieval (IR) has been focused on symbolic representations of music. However, most of the digitally available music is in the form of raw audio signals. Although various attempts at monophonic and polyphonic transcription have been made, none has been successful and general enough to work with real world signals. In this paper we describe some initial e#orts at building IR tools for real world audio signals. Our approach is based on signal processing, ... (Update)
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BibTeX entry: (Update)
G. Tzanetakis and P. Cook, "Audio Information Retrieval (AIR) Tools", in International Symposium on Music Information Retrieval, 2000. http://citeseer.ist.psu.edu/tzanetakis00audio.html More
@misc{ tzanetakis00audio,
author = "G. Tzanetakis and P. Cook",
title = "Audio Information Retrieval (AIR) Tools",
text = "G. Tzanetakis and P. Cook, Audio Information Retrieval (AIR) Tools, in
International Symposium on Music Information Retrieval, 2000.",
year = "2000",
url = "citeseer.ist.psu.edu/tzanetakis00audio.html" }
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[Article contains additional citations not shown here]
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