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  • Book
  • © 2010

Advances in Music Information Retrieval

  • Overview over the latest research in Music Information Retrieval

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

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Table of contents (17 chapters)

  1. Front Matter

  2. Music Information Retrieval: Indexing, Representations, and Platforms

    1. Front Matter

      Pages 1-1
    2. Indexing Techniques for Non-metric Music Dissimilarity Measures

      • Rainer Typke, Agatha Walczak-Typke
      Pages 3-17
    3. Clustering Driven Cascade Classifiers for Multi-indexing of Polyphonic Music by Instruments

      • Wenxin Jiang, Zbigniew W. Raś, Alicja A. Wieczorkowska
      Pages 19-38
    4. Representations of Music in Ranking Rhythmic Hypotheses

      • Jaroslaw Wojcik, Bozena Kostek
      Pages 39-64
    5. The Music Information Retrieval Evaluation eXchange: Some Observations and Insights

      • J. Stephen Downie, Andreas F. Ehmann, Mert Bay, M. Cameron Jones
      Pages 93-115
  3. Harmony

    1. Front Matter

      Pages 117-117
    2. Chord Analysis Using Ensemble Constraints

      • David Gerhard, Xinglin Zhang
      Pages 119-142
    3. BREVE: An HMPerceptron-Based Chord Recognition System

      • Daniele P. Radicioni, Roberto Esposito
      Pages 143-164
    4. Analysis of Chord Progression Data

      • 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. Statistical Music Modeling Aimed at Identification and Alignment

      • Riccardo Miotto, Nicola Montecchio, Nicola Orio
      Pages 187-212
    3. Harmonic and Percussive Sound Separation and Its Application to MIR-Related Tasks

      • Nobutaka Ono, Kenichi Miyamoto, Hirokazu Kameoka, Jonathan Le Roux, Yuuki Uchiyama, Emiru Tsunoo et al.
      Pages 213-236
    4. Violin Sound Quality: Expert Judgements and Objective Measurements

      • Piotr Wrzeciono, Krzysztof Marasek
      Pages 237-260
    5. Emotion Based MIDI Files Retrieval System

      • Jacek Grekow, Zbigniew W. Raś
      Pages 261-284
    6. On Search for Emotion in Hindusthani Vocal Music

      • Alicja A. Wieczorkowska, Ashoke Kumar Datta, Ranjan Sengupta, Nityananda Dey, Bhaswati Mukherjee
      Pages 285-304
  5. Music Similarity

    1. Front Matter

      Pages 305-305

About this book

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

Reviews

From the reviews:

“Ras and Wieczorkowska have compiled a 17-paper book that gives readers a glimpse into some of the current research approaches … . The 400-page book is structured into four parts. … The book gathers the contributions of almost 50 authors. … will provide readers who are interested in music information retrieval with a fair description of the state of the art of this economically important research domain.” (P. Jouvelot, ACM Computing Reviews, December, 2010)

“Music is both a science and an art. All of its different dimensions, whether melody, rhythm, timbre, mood, harmony, or counterpoint, are of interest to users of music information retrieval (MIR) systems. … This book’s aim is to popularize the research trends in the area of MIR. … I strongly recommend this gem of a book for scientific libraries.” (Soubhik Chakraborty, ACM Computing Reviews, March, 2011)

Editors and Affiliations

  • University of North Carolina, Charlotte, USA

    Zbigniew W. Raś

  • Polish-Japanese Institute of IT, Warsaw, Poland

    Alicja A. Wieczorkowska

Bibliographic Information

Buy it now

Buying options

eBook USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access