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From Sounds to Music and Emotions

9th International Symposium CMMR 2012, London, UK, June 19-22, 2012, Revised Selected Papers

  • Conference proceedings
  • © 2013

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Editors:
  1. Mitsuko Aramaki

    1. CNRS - LMA, Marseille Cedex 20, France

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  2. Mathieu Barthet

    1. Centre for Digital Music, Queen Mary University of London, London, UK

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  3. Richard Kronland-Martinet

    1. CNRS - LMA, Marseille Cedex 20, France

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  4. Sølvi Ystad

    1. CNRS - LMA, Marseille Cedex 20, France

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 7900)

Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)

Included in the following conference series:

Conference proceedings info: CMMR 2012.

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Table of contents (29 papers)

  1. Front Matter

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  2. - Music Emotion Analysis

    1. The Six Emotion-Face Clock as a Tool for Continuously Rating Discrete Emotional Responses to Music

      • Emery Schubert, Sam Ferguson, Natasha Farrar, David Taylor, Gary E. McPherson
      Pages 1-18

    2. Emotion in Motion: A Study of Music and Affective Response

      • Javier Jaimovich, Niall Coghlan, R. Benjamin Knapp
      Pages 19-43

    3. Psychophysiological Measures of Emotional Response to Romantic Orchestral Music and Their Musical and Acoustic Correlates

      • Konstantinos Trochidis, David Sears, Diêu-Ly Trân, Stephen McAdams
      Pages 44-57

  3. - 3D Audio and Sound Synthesis

    1. Two-Dimensional Hybrid Spatial Audio Systems with User Variable Controls of Sound Source Attributes

      • Martin J. Morrell, Joshua D. Reiss
      Pages 58-81

    2. Perceptual Characteristic and Compression Research in 3D Audio Technology

      • Ruimin Hu, Shi Dong, Heng Wang, Maosheng Zhang, Song Wang, Dengshi Li
      Pages 82-98

    3. Intuitive Control of Rolling Sound Synthesis

      • Simon Conan, Mitsuko Aramaki, Richard Kronland-Martinet, Sølvi Ystad
      Pages 99-109

    4. EarGram: An Application for Interactive Exploration of Concatenative Sound Synthesis in Pure Data

      • Gilberto Bernardes, Carlos Guedes, Bruce Pennycook
      Pages 110-129

    5. Reenacting Sensorimotor Features of Drawing Movements from Friction Sounds

      • Etienne Thoret, Mitsuko Aramaki, Richard Kronland-Martinet, Jean-Luc Velay, Sølvi Ystad
      Pages 130-153

  4. - Computer Models of Music Perception and Cognition

    1. Auditory Sketches: Sparse Representations of Sounds Based on Perceptual Models

      • Clara Suied, Angélique Drémeau, Daniel Pressnitzer, Laurent Daudet
      Pages 154-170

    2. The Role of Time in Music Emotion Recognition: Modeling Musical Emotions from Time-Varying Music Features

      • Marcelo Caetano, Athanasios Mouchtaris, Frans Wiering
      Pages 171-196

    3. The Intervalgram: An Audio Feature for Large-Scale Cover-Song Recognition

      • Thomas C. Walters, David A. Ross, Richard F. Lyon
      Pages 197-213

    4. Perceptual Dimensions of Short Audio Clips and Corresponding Timbre Features

      • Jason Jiří Musil, Budr Elnusairi, Daniel Müllensiefen
      Pages 214-227

  5. - Music Emotion Recognition

    1. Music Emotion Recognition: From Content- to Context-Based Models

      • Mathieu Barthet, György Fazekas, Mark Sandler
      Pages 228-252

    2. Predictive Modeling of Expressed Emotions in Music Using Pairwise Comparisons

      • Jens Madsen, Bjørn Sand Jensen, Jan Larsen
      Pages 253-277

    3. Analyzing the Perceptual Salience of Audio Features for Musical Emotion Recognition

      • Erik M. Schmidt, Matthew Prockup, Jeffrey Scott, Brian Dolhansky, Brandon G. Morton, Youngmoo E. Kim
      Pages 278-300

  6. - Music Information Retrieval

    1. Sample Identification in Hip Hop Music

      • Jan Van Balen, Joan Serrà, Martín Haro
      Pages 301-312

    2. Music Similarity Evaluation Using the Variogram for MFCC Modelling

      • Lorenzo J. Tardón, Isabel Barbancho
      Pages 313-332

    3. Automatic String Detection for Bass Guitar and Electric Guitar

      • Jakob Abeßer
      Pages 333-352

    4. Using Oracle Analysis for Decomposition-Based Automatic Music Transcription

      • Ken O’Hanlon, Hidehisa Nagano, Mark D. Plumbley
      Pages 353-365
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About this book

This book constitutes the thoroughly refereed post-conference proceedings of the 9th International Symposium on Computer Music Modeling and Retrieval, CMMR 2012, held in London, UK, in June 2012. The 28 revised full papers presented were carefully reviewed and selected for inclusion in this volume. The papers have been organized in the following topical sections: music emotion analysis; 3D audio and sound synthesis; computer models of music perception and cognition; music emotion recognition; music information retrieval; film soundtrack and music recommendation; and computational musicology and music education. The volume also includes selected papers from the Cross-Disciplinary Perspectives on Expressive Performance Workshop held within the framework of CMMR 2012.

Editors and Affiliations

  • CNRS - LMA, Marseille Cedex 20, France

    Mitsuko Aramaki, Richard Kronland-Martinet, Sølvi Ystad

  • Centre for Digital Music, Queen Mary University of London, London, UK

    Mathieu Barthet

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