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Advances in Music Information Retrieval

  • Zbigniew W. Raś
  • Alicja A. Wieczorkowska

Part of the Studies in Computational Intelligence book series (SCI, volume 274)

Table of contents

  1. Front Matter
  2. Music Information Retrieval: Indexing, Representations, and Platforms

    1. Front Matter
      Pages 1-1
    2. Rainer Typke, Agatha Walczak-Typke
      Pages 3-17
    3. Wenxin Jiang, Zbigniew W. Raś, Alicja A. Wieczorkowska
      Pages 19-38
    4. Jaroslaw Wojcik, Bozena Kostek
      Pages 39-64
    5. J. Stephen Downie, Andreas F. Ehmann, Mert Bay, M. Cameron Jones
      Pages 93-115
  3. Harmony

    1. Front Matter
      Pages 117-117
    2. David Gerhard, Xinglin Zhang
      Pages 119-142
    3. Daniele P. Radicioni, Roberto Esposito
      Pages 143-164
    4. Brandt Absolu, Tao Li, Mitsunori Ogihara
      Pages 165-184
  4. Content-Based Identification and Retrieval of Musical Information

    1. Front Matter
      Pages 185-185
    2. Riccardo Miotto, Nicola Montecchio, Nicola Orio
      Pages 187-212
    3. Nobutaka Ono, Kenichi Miyamoto, Hirokazu Kameoka, Jonathan Le Roux, Yuuki Uchiyama, Emiru Tsunoo et al.
      Pages 213-236
    4. Piotr Wrzeciono, Krzysztof Marasek
      Pages 237-260
    5. Jacek Grekow, Zbigniew W. Raś
      Pages 261-284
    6. Alicja A. Wieczorkowska, Ashoke Kumar Datta, Ranjan Sengupta, Nityananda Dey, Bhaswati Mukherjee
      Pages 285-304
  5. Music Similarity

    1. Front Matter
      Pages 305-305
    2. Marcus T. Pearce, Daniel Müllensiefen, Geraint A. Wiggins
      Pages 364-388
  6. Back Matter

About this book

Introduction

Sound waves propagate through various media, and allow communication or entertainment for us, humans. Music we hear or create can be perceived in such aspects as rhythm, melody, harmony, timbre, or mood. All these elements of music can be of interest for users of music information retrieval systems. Since vast music repositories are available for everyone in everyday use (both in private collections, and in the Internet), it is desirable and becomes necessary to browse music collections by contents. Therefore, music information retrieval can be potentially of interest for every user of computers and the Internet. There is a lot of research performed in music information retrieval domain, and the outcomes, as well as trends in this research, are certainly worth popularizing. This idea motivated us to prepare the book on Advances in Music Information Retrieval.

 It is divided into four sections: MIR Methods and Platforms, Harmony, Music Similarity, and Content Based Identification and Retrieval. Glossary of basic terms is given at the end of the book, to familiarize readers with vocabulary referring to music information retrieval.

Keywords

Analysis Computational Intelligence Music Information Retrieval Music Retrieval Signal cognition communication emotion modeling

Editors and affiliations

  • Zbigniew W. Raś
    • 1
  • Alicja A. Wieczorkowska
    • 2
  1. 1.University of North CarolinaCharlotteUSA
  2. 2.Polish-Japanese Institute of ITWarsawPoland

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-11674-2
  • Copyright Information Springer-Verlag Berlin Heidelberg 2010
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-11673-5
  • Online ISBN 978-3-642-11674-2
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site