Music Technology with Swing

1. Front Matter

   Pages I-XIII

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2. Music Information Retrieval, Automatic Recognition, Estimation and Classification

   1. Front Matter

      Pages 1-1

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   2. Automatic Recognition of Sound Categories from Their Vocal Imitation Using Audio Primitives Automatically Found by SI-PLCA and HMM

      • Enrico Marchetto, Geoffroy Peeters

      Pages 3-22

   3. Automatic Estimation of Harmonic Tension by Distributed Representation of Chords

      • Ali Nikrang, David R. W. Sears, Gerhard Widmer

      Pages 23-34

   4. Automatic Music Genre Classification in Small and Ethnic Datasets

      • Tiago Fernandes Tavares, Juliano Henrique Foleiss

      Pages 35-48

   5. Music Genre Classification Revisited: An In-Depth Examination Guided by Music Experts

      • Haukur Pálmason, Björn Þór Jónsson, Markus Schedl, Peter Knees

      Pages 49-62

   6. Exploring Trends in Trinidad Steelband Music Through Computational Ethnomusicology

      • Elio Quinton, Florabelle Spielmann, Bob L. Sturm

      Pages 63-75

   7. k-Best Unit Selection Strategies for Musical Concatenative Synthesis

      • Cárthach Ó Nuanáin, Perfecto Herrera, Sergi Jordá

      Pages 76-97

3. Electronic Dance Music and Rhythm

   1. Front Matter

      Pages 99-99

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   2. Groove on the Brain

      • Peter Vuust

      Pages 101-110

   3. Finding Drum Breaks in Digital Music Recordings

      • Patricio López-Serrano, Christian Dittmar, Meinard Müller

      Pages 111-122

   4. Drum Rhythm Spaces: From Global Models to Style-Specific Maps

      • Daniel Gómez-Marín, Sergi Jordà, Perfecto Herrera

      Pages 123-134

   5. Modulated Swing: Dynamic Rhythm Synthesis by Means of Frequency Modulation

      • Carl Haakon Waadeland, Sigurd Saue

      Pages 135-150

   6. A Hierarchical Harmonic Mixing Method

      • Gilberto Bernardes, Matthew E. P. Davies, Carlos Guedes

      Pages 151-170

   7. Games Without Frontiers: Audio Games for Music Production and Performance

      • Jason Hockman, Joseph Thibodeau

      Pages 171-183

4. Computational Musicology

   1. Front Matter

      Pages 185-185

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   2. Autonomous Composition as Search in a Conceptual Space: A Computational Creativity View

      • F. Amílcar Cardoso

      Pages 187-198

   3. On Linear Algebraic Representation of Time-span and Prolongational Trees

      • Satoshi Tojo, Alan Marsden, Keiji Hirata

      Pages 199-212

   4. Four-Part Harmonization: Comparison of a Bayesian Network and a Recurrent Neural Network

      • Tatsuro Yamada, Tetsuro Kitahara, Hiroaki Arie, Tetsuya Ogata

      Pages 213-225

   5. On Hierarchical Clustering of Spectrogram

      • Shun Sawada, Yoshinari Takegawa, Keiji Hirata

      Pages 226-237

This book constitutes the refereed proceedings of the 13^th 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.

• 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

• Laboratoire PRISM, AMU-CNRS, Marseille, France

  Mitsuko Aramaki, Richard Kronland-Martinet, Sølvi Ystad

• INESC TEC, Porto, Portugal

  Matthew E. P. Davies

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