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ORCID16th CMMR 2023
- Sølvi Ystad
, Richard Kronland-Martinet, Tetsuro Kitahara, Keiji Hirata, Mitsuko Aramaki:
Music and Sound Generation in the AI Era - 16th International Symposium, CMMR 2023, Tokyo, Japan, November 13-17, 2023, Revised Selected Papers. Lecture Notes in Computer Science 15236, Springer 2026, ISBN 978-3-032-02041-3
Artificial Intelligence, Cognitive Science and Skill Science for Sound and Music
- Tatsuya Daikoku:
Emergence of Creativity and Individuality in Music: Insights from Brain's Statistical Learning and Its Embodied Mechanisms. 3-14 - Max Graf, Mathieu Barthet:
Multimodal Hand Tracking for XR Musical Instruments Using Electromyography. 15-39 - Mio Matsuura, Ayanae Sasaki, Masaki Matsubara, Hiroki Watanabe, Yoshinari Takegawa, Keiji Hirata:
Comprehensive Understanding of Patterns of Skill Acquisition and Forgetting in Music Games: Does Musical Experience Accelerate Forgetting? 40-58 - Timothy Schmele, Eleonora De Filippi, Arijit Nandi, Alexandre Pereda-Baños, Adan Garriga:
Emotional Impact of Source Localization in Music Using Machine Learning and EEG - A Proof-of-Concept Study. 59-71 - Yasumasa Yamaguchi, Taku Kawada, Toru Nagahama, Tatsuya Horita:
A Quantitative Evaluation of a Musical Performance Support System Utilizing a Musical Sophistication Test Battery. 72-79
Music and Sound Generation: Emerging Approaches and Diverse Applications
- Jingjing Tang, Geraint A. Wiggins, György Fazekas:
Reconstructing Human Expressiveness in Piano Performances with a Transformer Network. 83-96 - Grégory Beller, Jacob Sello, Georg Hajdu, Thomas Görne:
Spatially Situated Media and Spatial Sampler XR-Genealogy and Organology of a Family of Gestural and Spatial Musical Instruments in Mixed Reality. 97-112 - Eleanor Row, Jingjing Tang, György Fazekas:
JAZZVAR: A Dataset of Variations Found within Solo Piano Performances of Jazz Standards for Music Overpainting. 113-126 - Marco Amerotti, Steve Benford, Bob L. T. Sturm, Craig Vear:
A Live Performance Rule System Informed by Irish Traditional Dance Music. 127-139 - Yoshitaka Tomiyama, Tetsuro Kitahara, Taro Masuda, Koki Kitaya, Yuya Matsumura, Ayari Takezawa, Tsuyoshi Odaira, Kanako Baba:
Benzaiten: A Non-Expert-Friendly Event of Automatic Melody Generation Contest. 140-148 - Yuqiang Li, Shengchen Li, György Fazekas:
Pitch Class and Octave-Based Pitch Embedding Training Strategies for Symbolic Music Generation. 149-167 - Damian Dziwis:
VERSNIZ Audiovisual Worldbuilding Through Live Coding as a Performance Practice in the Metaverse. 168-180 - Tomoo Kouzai, Tetsuro Kitahara:
An Audio-to-Audio Approach to Generate Bass Lines from Guitar's Chord Backing. 181-189
Computational Research on Music Evolution
- Eita Nakamura, Tim Eipert, Fabian C. Moss:
Historical Changes of Modes and Their Substructure Modeled as Pitch Distributions in Plainchant from the 1100 s to the 1500 s. 193-204 - Eita Nakamura:
Computational Analysis of Selection and Mutation Probabilities in the Evolution of Chord Progressions. 205-217 - Dongju Park, Juyong Park:
Bipartite Network Analysis of the Stylistic Evolution of Sample-Based Music. 218-226 - Halla Kim, Juyong Park:
On the Analysis of Voicing Novelty in Classical Piano Music. 227-235
Computational Musicology
- Christofer Julio, Feng-Hsu Lee, Li Su:
Interpretable Rule Learning and Evaluation of Early Twentieth-Century Music Styles. 239-251 - Yu-Fen Huang, Li Su:
Toward Empirical Analysis for Stylistic Expression in Piano Performance. 252-266 - Masatoshi Hamanaka, Keiji Hirata, Satoshi Tojo:
deepGTTM-IV: Deep Learning Based Time-Span Tree Analyzer of "A Generative Theory of Tonal Music". 267-275 - Chandan Misra, Swarup Chattopadhyay:
SANGEET: An XML Based Open Dataset for Research in Hindustani Sangeet. 276-283 - Matteo Bizzarri:
Music Analysis Through Mathematical Logic. 284-296 - Riku Takahashi, Risa Izu, Yoshinari Takegawa, Keiji Hirata:
Global Prediction of Time-Span Tree by Cloze Task. 297-309
Music Recognition and Creation Tools
- David Rizo, Jorge Calvo-Zaragoza, Juan C. Martinez-Sevilla, Adrian Rosello, Eliseo Fuentes-Martínez:
Design of a Music Recognition, Encoding, and Transcription Online Tool. 313-328 - Matthew Mccloskey, Gabrielle Curcio, Amulya Badineni, Kevin Mcgrath, Georgios Papamichail, Dimitris P. Papamichail:
Automated Arrangements of Multi-part Music for Sets of Monophonic Instruments. 329-336 - Emmanouil Karystinaios, Francesco Foscarin, Florent Jacquemard, Masahiko Sakai, Satoshi Tojo, Gerhard Widmer:
8 + 8 = 4: Formalizing Time Units to Handle Symbolic Music Durations. 337-348 - Hyon Kim, Xavier Serra:
DiffVel: Note-Level MIDI Velocity Estimation for Piano Performance by a Double Conditioned Diffusion Model. 349-361
Music Information Retrieval
- Geetika Arora, Keyur Choudhari, Ponnurangam Kumaraguru, Vinoo Alluri:
From Sunrise to Sunset: Investigating Diurnal Rhythmic Patterns in Music Listening Habits in India. 365-377 - Tiange Zhu, Danny Diamond, James McDermott, Raphaël Fournier-S'niehotta, Mathieu d'Aquin, Philippe Rigaux:
A Novel Local Alignment-Based Approach to Motif Extraction in Polyphonic Music. 378-389 - Ryusei Hayashi, Tetsuro Kitahara:
Predicting Audio Features of Background Music From Game Scenes. 390-401 - Tomoyasu Nakano, Momoka Sasaki, Mayuko Kishi, Masahiro Hamasaki, Masataka Goto, Yoshinori Hijikata:
A Music Exploration Interface Based on Vocal Timbre and Pitch in Popular Music. 402-418 - Le Cai, Sam Ferguson, Gengfa Fang, Hani Alshamrani:
Exploring Diverse Sounds: Identifying Outliers in a Music Corpus. 419-432
Audio Signal Processing and HCI in Music
- Rory Hoy, Doug Van Nort:
Co-creation and Deep Listening Between Humans and Machines in a Telematic Workshop Environment. 435-447 - Matthias Nowakowski, Aristotelis Hadjakos:
Estimating Interaction Time in Music Notation Editors. 448-460 - António Sá Pinto, Gilberto Bernardes, Matthew E. P. Davies:
Challenging Beat Tracking: Tackling Polyrhythm, Polymetre, and Polytempo with Human-in-the-Loop Adaptation. 461-479 - Jeremy Hyrkas:
Algorithms for Roughness Control Using Frequency Shifting and Attenuation of Partials in Audio. 480-493 - Sai Oshita, Tetsuro Kitahara:
NUFluteDB: Flute Sound Dataset with Appropriate and Inappropriate Blowing Styles. 494-503
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