CMMR 2021 Scientific Program

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Opening

Keynote Lecture: Music in the AI era
　　Shuji Hashimoto

　　 Professor Emeritus and Research Advisor, Waseda University

　　 (Chair: Keiji Hirata)

Sponsor Session: Music Informatics Research at Yamaha Corporation
　　 Akira Maezawa

　 　 YAMAHA

　　 (Chair: Keiji Hirata)

Interactive Systems for Music (Chair: Satoru Fukayama)

• [1-1] Suiview: A Web-based Application that Enables Users to Practice Wind Instrument Performance [pdf]
  　　 Misato Watanabe, Yosuke Onoue, Aiko Uemura and Tetsuro Kitahara
• [1-2] Continuous parameter control using an on/off sensor in the augmented handheld triangle [pdf]
  　　 Marcio A. H. Ferreira and Tiago F. Tavares
• [1-3] Locus Diffuse: An Agent-Based Sonic Ecosystem for Collaborative Musical Play [pdf]
  　　 Rory Hoy and Doug Van Nort
• [1-4] Mixed Writing with Karlax and Acoustic Instruments: Interaction Strategies from Computer Music [pdf]
  　　 Benjamin Lavastre and Marcelo Wanderley
• [1-5] 3D skeleton motion generation of double bass from musical score [pdf]
  　　 Takeru Shirai and Shinji Sako

Introduction to accepted musical works by the authors (Chair: Shintaro Imai)

• [music-1] Miskets and Canicas
  　　　　 Anıl Çamcı and Matias Vilaplana
• [music-7] “Construction in Kneading”
  　　　　 Ryo Ikeshiro
• [music-6] TeleFAUXcus
  　　　　 Sarah Hamilton, Bradley Robin and Seth Shafer
• [music-10] Things I Have Seen in My Dreams
  　　　　 João Pedro Oliveira

Music Information Retrieval and Modeling (Chair: Katsutoshi Itoyama)

• [2-1] Lyric document embeddings for music tagging [pdf]
  　　 Matt McVicar, Bruno Di Giorgi, Baris Dundar and Matthias Mauch
• [2-2] Oktoechos Classification in Liturgical Music Using Musical Texture Features [pdf]
  　　 Rajeev Rajan, Amlu Anna Joshy and Varsha Shiburaj
• [2-3] Modelling Moral Traits with Music Listening Preferences and Demographics [pdf]
  　　 Vjosa Preniqi, Charalampos Saitis and Kyriaki Kalimeri
• [2-4] Classification of 1950 to 1960 Electronic Music Using the VGGish Neural Network
  　　 and Random Forest [pdf]
  　　 Maurício do V. M. da Costa, Florian Zwißler, Philip Schwarzbauer and Michael Oehler
• [2-5] Knowledge Transfer from Neural Networks for Speech Music Classification [pdf]
  　　 Christian Kehling and Estefania Cano
• [2-6] KThree-Level Model for Fingering Decision of String Instruments [pdf]
  　　 Gen Hori

Audio Signal Processing (Chair: Shinji Sako)

• [3-1] Analysis of Musical Dynamics in Vocal Performances [pdf]
  　　 Jyoti Narang, Marius Miron, Xavier Lizarraga and Xavier Serra
• [3-2] The Matrix Profile for Motif Discovery in Audio - An Example Application in Carnatic Music [pdf]
  　　 Thomas Nuttall, Genís Plaja, Lara Pearson and Xavier Serra
• [3-3] Noise Reduction Using Self-Attention Deep Neural Networks [pdf]
  　　 Naoyuki Shiba and Hiroaki Saito
• [3-4] Estimation of Perceptual Qualities of Percussive Sounds
  Inspired by Schaefferian Criteria: Attack Profile, Mass, and Harmonic Timbre [pdf]
  　　 Sérgio Freire, José Henrique Padovani and Caio Campos

Music Analysis (Chair: Shinji Sako)

• [3-5] A psychoacoustic-based methodology for sound mass music analysis [pdf]
  　　 Micael Antunes, Guilherme Feulo Do Espírito Santo, Jônatas Manzolli and Marcelo Queiroz
• [3-6] Unsupervised method for Implementing Implication-Realization Model Analyzer on Computer [pdf]
  　　 Noto Kaede, Hirata Keiji and Takegawa Yoshinari

17th PM

Music Analysis (Chair: Eita Nakamura)

• [4-1] Time-span Tree Leveled by Duration of Time-span [pdf]
  　　 Masatoshi Hamanaka, Keiji Hirata and Satoshi Tojo
• [4-2] Studying Structural Regularities through Abstraction Trees [pdf]
  　　 Filippo Carnovalini, Nicholas Harley, Steve Homer, Antonio Roda and Geraint Wiggins
• [4-3] Symbolic Textural Features and Melody/Accompaniment Detection in String Quartets [pdf]
  　　 Louis Soum-Fontez, Mathieu Giraud, Nicolas Guiomard-Kagan and Florence Levé

Invited Lecture: Developing Artist-centric Technology
　　Gaëtan Hadjeres

　　 Sony CSL Paris Music Team

　　 (Chair: Satoshi Tojo)

Music Information Retrieval and Modeling (Chair: Masatoshi Hamanaka)

• [5-1] Predominant Instrument Recognition in Polyphonic Music Using Convolutional
  　　 Recurrent Neural Networks [pdf]
  　　 Lekshmi Reghunath and Rajeev Rajan
• [5-2] A Polytemporal Model for Musical Scheduling [pdf]
  　　 Martin Fouilleul, Jean Bresson and Jean-Louis Giavitto
• [5-3] A Framework for Music Similarity and Cover Song Identification [pdf]
  　　 Roberto Bodo, Emmanouil Benetos and Marcelo Queiroz

Invited Lecture: Models for Symbol Emergence based on Real-World Sensory-motor Information and Communication
　　Tadahiro Taniguchi

　　 Professor, College of Information Science and Engineering, Ritsumeikan University

　　 (Chair: Keiji Hirata)

Audio Signal Processing and Performance Modeling (Chair: Mitsuko Aramaki)

• [6-1] Deep Learning-Based Music Instrument Recognition: Exploring Learned Feature Representations [pdf]
  　　 Michael Taenzer, Stylianos I. Mimilakis and Jakob Abeßer
• [6-2] Hierarchical Predictive Coding and Interpretable Audio Analysis-Synthesis [pdf]
  　　 André Ofner, Johannes Schleiss and Sebastian Stober
• [6-3] Zero-shot Singing Technique Conversion [pdf]
  　　 Brendan O'Connor, Simon Dixon and George Fazekas
• [6-4] Audio-Tactile Perception of Roughness [pdf]
  　　 Madeline Fery, Corentin Bernard, Etienne Thoret, Richard Kronland-Martinet and Sølvi Ystad
• [6-5] Towards an Aesthetic of Hybrid Performance Practice: Incorporating Motion Tracking,
  　　 Gestural and Telematic Techniques in Audiovisual Performance [pdf]
  　　 Haruka Hirayama and Iannis Zannos

AI, ML, and Electroacoustics for Music Production (Chair: Akira Maezawa)

• [7-1] Evaluating AI as an assisting tool to create Electronic Dance Music [pdf]
  　　 Christian Fischer, Manuel Richardt and Niklas Bohm
• [7-2] WaVAEtable Synthesis [pdf]
  　　 Jeremy Hyrkas
• [7-3] With Love: Electroacoustic, Audiovisual, and Telematic Music [pdf]
  　　 Paulo C. Chagas and Cássia Carrascoza Bomfim

Music Database and Ontology (Chair: Satoshi Tojo)

• [7-4] CROCUS: Dataset of Musical Performance Critiques: Relationship between Critique Content
  　　 and Its Utility [pdf]
  　　 Masaki Matsubara, Rina Kagawa, Takeshi Hirano and Isao Tsuji
• [7-5] Complexity Analysis of Instrumental Performance based on Ontology Structure
  　　 for Music Selection [pdf]
  　　 Nami Iino and Hideaki Takeda

Closing