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Discovering Musical Structure in Audio Recordings

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Music and Artificial Intelligence (ICMAI 2002)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2445))

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Abstract

Music is often described in terms of the structure of repeated phrases. For example, many songs have the form AABA, where each letter represents an instance of a phrase. This research aims to construct descriptions or explanations of music in this form, using only audio recordings as input. A system of programs is described that transcribes the melody of a recording, identifies similar segments, clusters these segments to form patterns, and then constructs an explanation of the music in terms of these patterns. Additional work using spectral information rather than melodic transcription is also described. Examples of successful machine “listening” and music analysis are presented.

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Author information

Authors and Affiliations

  1. School of Computer Science, Carnegie Mellon University, 15217, Pittsburgh, PA, USA

    Roger B. Dannenberg & Ning Hu

Authors
  1. Roger B. Dannenberg
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  2. Ning Hu
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Editor information

Editors and Affiliations

  1. Faculty of Music, University of Edinburgh, 12 Nicolson Square, EH8 9DF, Edinburgh, UK

    Christina Anagnostopoulou  & Miguel Ferrand  & 

  2. Division of Informatics, University of Edinburgh, 80 South Bridge, EH1 1HN, Edinburgh, UK

    Alan Smaill

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© 2002 Springer-Verlag Berlin Heidelberg

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Dannenberg, R.B., Hu, N. (2002). Discovering Musical Structure in Audio Recordings. In: Anagnostopoulou, C., Ferrand, M., Smaill, A. (eds) Music and Artificial Intelligence. ICMAI 2002. Lecture Notes in Computer Science(), vol 2445. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45722-4_6

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  • DOI: https://doi.org/10.1007/3-540-45722-4_6

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44145-8

  • Online ISBN: 978-3-540-45722-0

  • eBook Packages: Springer Book Archive

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