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Music in the AI Era

15th International Symposium, CMMR 2021, Virtual Event, November 15–19, 2021, Revised Selected Papers

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Mitsuko Aramaki

    1. Aix-Marseille Univ, Marseille Cedex 09, France

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  2. Keiji Hirata

    1. Future University Hakodate, Hakodate, Japan

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  3. Tetsuro Kitahara

    1. Nihon University, Tokyo, Japan

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  4. Richard Kronland-Martinet

    1. Aix-Marseille Univ, Marseille Cedex 09, France

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  5. Sølvi Ystad

    1. Aix-Marseille Univ, Marseille Cedex 09, France

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13770)

Included in the following conference series:

Conference proceedings info: CMMR 2021.

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Table of contents (24 papers)

  1. Front Matter

    Pages i-xi
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  2. Music Technology in the IA Era

    1. Front Matter

      Pages 1-1
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    2. KANSEI Informatics and Music Technology in AI Era

      • Shuji Hashimoto
      Pages 3-8

    3. On Parallelism in Music and Language: A Perspective from Symbol Emergence Systems Based on Probabilistic Generative Models

      • Tadahiro Taniguchi
      Pages 9-25

    4. WaVAEtable Synthesis

      • Jeremy Hyrkas
      Pages 26-31

    5. Deep Learning-Based Music Instrument Recognition: Exploring Learned Feature Representations

      • Michael Taenzer, Stylianos I. Mimilakis, Jakob Abeßer
      Pages 32-46

    6. Time-Span Tree Leveled by Duration of Time-Span

      • Masatoshi Hamanaka, Keiji Hirata, Satoshi Tojo
      Pages 47-58

    7. Evaluating AI as an Assisting Tool to Create Electronic Dance Music

      • Niklas Bohm, Christian M. Fischer, Manuel Richardt
      Pages 59-65

  3. Interactive Systems for Music

    1. Front Matter

      Pages 67-67
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    2. Suiview: A Web-Based Application that Enables Users to Practice Wind Instrument Performance

      • Misato Watanabe, Yosuke Onoue, Aiko Uemura, Tetsuro Kitahara
      Pages 69-75

    3. Continuous Parameter Control Using an On/Off Sensor in the Augmented Handheld Triangle

      • Marcio Albano H. Ferreira, Tiago F. Tavares
      Pages 76-93

    4. Networked and Collaborative Musical Play Amongst Humans and Virtual Biological Agents in Locus Diffuse

      • Rory Hoy, Doug Van Nort
      Pages 94-110

    5. Towards an Aesthetic of Hybrid Performance Practice

      • Iannis Zannos, Haruka Hirayama
      Pages 111-121

    6. Development of Audio Descriptors Inspired by Schaefferian Criteria: A Set of Tools for Interactive Exploration of Percussive Sounds

      • Sérgio Freire, José Henrique Padovani, Caio Campos
      Pages 122-138

    7. A Polytemporal Model for Musical Scheduling

      • Martin Fouilleul, Jean Bresson, Jean-Louis Giavitto
      Pages 139-162

    8. Interaction Strategies in Composition for Karlax and Acoustic Instruments

      • Benjamin Lavastre, Marcelo M. Wanderley
      Pages 163-179

  4. Music Information Retrieval and Modeling

    1. Front Matter

      Pages 181-181
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    2. Modelling Moral Traits with Music Listening Preferences and Demographics

      • Vjosa Preniqi, Kyriaki Kalimeri, Charalampos Saitis
      Pages 183-194

    3. Classification of 1950 to 1960 Electronic Music Using the VGGish Neural Network and Random Forest

      • Maurício do Vale Madeira da Costa, Florian Zwißler, Philip Schwarzbauer, Michael Oehler
      Pages 195-201

    4. Knowledge Transfer from Neural Networks for Speech Music Classification

      • Christian Kehling, Estefanía Cano
      Pages 202-213
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About this book

This book constitutes the refereed proceedings and revised selected papers from the 15th International Symposium on Music in the AI Era, CMMR 2021, which took place during November 15–19, 2021 as a virtual event. 
The 24 full papers included in this book were carefully reviewed and selected from 48 submissions. The papers are grouped in thematical sessions on Music technology in the IA era; Interactive systems for music; Music Information Retrieval and Modeling; and Music and Performance Analysis.

Editors and Affiliations

  • Aix-Marseille Univ, Marseille Cedex 09, France

    Mitsuko Aramaki, Richard Kronland-Martinet, Sølvi Ystad

  • Future University Hakodate, Hakodate, Japan

    Keiji Hirata

  • Nihon University, Tokyo, Japan

    Tetsuro Kitahara

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