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© 2018

Music Technology with Swing

13th International Symposium, CMMR 2017, Matosinhos, Portugal, September 25-28, 2017, Revised Selected Papers

  • Mitsuko Aramaki
  • Matthew E. P. Davies
  • Richard Kronland-Martinet
  • Sølvi Ystad
Conference proceedings CMMR 2017

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11265)

Also part of the Information Systems and Applications, incl. Internet/Web, and HCI book sub series (LNISA, volume 11265)

Table of contents

  1. Front Matter
    Pages I-XIII
  2. Music Information Retrieval, Automatic Recognition, Estimation and Classification

    1. Front Matter
      Pages 1-1
    2. Ali Nikrang, David R. W. Sears, Gerhard Widmer
      Pages 23-34
    3. Tiago Fernandes Tavares, Juliano Henrique Foleiss
      Pages 35-48
    4. Haukur Pálmason, Björn Þór Jónsson, Markus Schedl, Peter Knees
      Pages 49-62
    5. Elio Quinton, Florabelle Spielmann, Bob L. Sturm
      Pages 63-75
    6. Cárthach Ó Nuanáin, Perfecto Herrera, Sergi Jordá
      Pages 76-97
  3. Electronic Dance Music and Rhythm

    1. Front Matter
      Pages 99-99
    2. Peter Vuust
      Pages 101-110
    3. Patricio López-Serrano, Christian Dittmar, Meinard Müller
      Pages 111-122
    4. Daniel Gómez-Marín, Sergi Jordà, Perfecto Herrera
      Pages 123-134
    5. Carl Haakon Waadeland, Sigurd Saue
      Pages 135-150
    6. Gilberto Bernardes, Matthew E. P. Davies, Carlos Guedes
      Pages 151-170
  4. Computational Musicology

    1. Front Matter
      Pages 185-185
    2. Satoshi Tojo, Alan Marsden, Keiji Hirata
      Pages 199-212
    3. Tatsuro Yamada, Tetsuro Kitahara, Hiroaki Arie, Tetsuya Ogata
      Pages 213-225
    4. Shun Sawada, Yoshinari Takegawa, Keiji Hirata
      Pages 226-237

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 13th International Symposium on Music Technology with Swing, CMMR 2017, held in Matosinhos, Portugal, in September 2017. The 44 full papers presented were selected from 64 submissions. The papers are grouped in eight sections: music information retrieval, automatic recognition, estimation and classification, electronic dance music and rhythm, computational musicology, sound in practice: auditory guidance and feedback in the context of motor learning and motor adaptation, human perception in multimodal context, cooperative music networks and musical HCIs, virtual and augmented reality, research and creation: spaces and modalities.

Keywords

auditory feedback auditory perception and cognition data mining digital music instrument digital signal processing human computer interaction (HCI) motion capture multimodal interactions music retrieval perception real-time audio porocessing real-time simulation sensorimotor synchronization sound and gesture sound and image sound and music computing sound design speech/audio search supervised learning by classification virtual and augmented reality

Editors and affiliations

  1. 1.Laboratoire PRISM, AMU-CNRSMarseilleFrance
  2. 2.INESC TECPortoPortugal
  3. 3.Laboratoire PRISM, AMU-CNRSMarseilleFrance
  4. 4.Laboratoire PRISM, AMU-CNRSMarseilleFrance

Bibliographic information