Music and Sound Generation in the AI Era (eBook, PDF)

16th International Symposium, CMMR 2023, Tokyo, Japan, November 13-17, 2023, Revised Selected Papers
Redaktion: Ystad, Sølvi; Aramaki, Mitsuko; Hirata, Keiji; Kitahara, Tetsuro; Kronland-Martinet, Richard

• Format: PDF

Produktbeschreibung

This book constitutes the refereed proceedings of the 16th International Symposium on Computer Music Multidisciplinary Research, CMMR 2023, held in Tokyo, Japan, during November 13-17, 2023.

The 37 full papers included in this book were carefully reviewed and selected from 120 submissions. They were organized in topical sections as follows: Artificial intelligence, cognitive science and skill science for sound and music; music and sound generation: Emerging approaches and diverse applications; computational research on music evolution; computational musicology; music recognition and creation tools; music information retrieval; and audio signal processing and HCI in music.

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 506
• Erscheinungstermin: 9. Oktober 2025
• Englisch
• ISBN-13: 9783032020420
• Artikelnr.: 75630180

Inhaltsangabe

.- Artificial Intelligence, cognitive science and skill science for sound and music.

.- Emergence of Creativity and Individuality in Music: Insights from Brain?s Statistical Learning and its Embodied Mechanisms.

.- Combining Vision and EMG-Based Hand Tracking for Extended Reality Musical Instruments.

.- Comprehensive Understanding of Patterns of Skill Acquisition and Forgetting in Music Games: Does Musical Experience Accelerate Forgetting?.

.- Emotional Impact of Source Localization in Music Using Machine Learning and EEG.

.- A Quantitative Evaluation of a Musical Performance Support System Utilizing a Musical Sophistication Test Battery.

.- Music and Sound Generation: Emerging Approaches and Diverse Applications.

.- Reconstructing Human Expressiveness in Piano Performances with a Transformer Network.

.- Spatially Situated Media and Spatial Sampler XR Genealogy and Organology of a Family of Gestural and Spatial Musical Instruments in Mixed Reality.

.- JAZZVAR: A Dataset of Variations Found Within Solo Piano Performances of Jazz Standards for Music Overpainting.

.- A Live Performance Rule System Informed by Irish Traditional Dance Music.

.- Benzaiten: A Non-expert-friendly Event of Automatic Melody Generation Contest.

.- Pitch Class and Octave-Based Pitch Embedding Training Strategies for Symbolic Music Generation.

.- VERSNIZ - Audiovisual Worldbuilding through Live Coding as a Performance Practice in the Metaverse.

.- An Audio-to-Audio Approach to Generate Bass Lines from Guitar s Chord Backing.

.- Computational Research on Music Evolution.

.- Historical Changes of Modes and their Substructure Modeled as Pitch Distributions in Plainchant from the 1100s to the 1500s.

.- Computational Analysis of Selection and Mutation Probabilities in the Evolution of Chord Progressions.

.- Bipartite Network Analysis of the Stylistic Evolution of Sample-based Music.

.- On the Analysis of Voicing Novelty in Classical Piano Music.

.- Computational Musicology.

.- Interpretable Rule Learning and Evaluation of Early Twentieth-century Music Styles.

.- Toward Empirical Analysis for Stylistic Expression in Piano Performance.

.- deepGTTM-IV: Deep Learning Based Time-span Tree Analyzer of A Generative Theory of Tonal Music .

.- SANGEET: A XML Based Open Dataset for Research in Hindustani Sangeet.

.- Music Analysis Through Mathematical Logic.

.- Global Prediction of Time-span Tree by Cloze Task.

.- Music recognition and creation tools.

.- Design of a Music Recognition, Encoding, and Transcription Online Tool.

.- Automated Arrangements of Multi-Part Music for Sets of Monophonic Instruments.

.- 8+8=4: Formalizing Time Units to Handle Symbolic Music Durations.

.- DiffVel: Note-Level MIDI Velocity Estimation for Piano Performance by a Double Conditioned Diffusion Model.

.- Music Information Retrieval.

.- From Sunrise to Sunset: Investigating Diurnal Rhythmic Patterns in Music Listening Habits in India.

.- A Novel Local Alignment-Based Approach to Motif Extraction in Polyphonic Music.

.- Predicting Audio Features of Background Music From Game Scenes.

.- A Music Exploration Interface Based on Vocal Timbre and Pitch in Popular Music.

.- Exploring Diverse Sounds: Identifying Outliers in a Music Corpus.

.- Audio signal processing and HCI in music.

.- Co-Creation and Deep Listening Between Humans and Machines in a Telematic Workshop Environment.

.- Estimating Interaction Time in Music Notation Editors.

.- Challenging Beat Tracking: Tackling Polyrhythm, Polymetre, and Polytempo with Human-in-the-Loop Adaptation.

.- Algorithms for Roughness Control Using Frequency Shifting and Attenuation of Partials in Audio.

.- NUFluteDB: Flute Sound Dataset with Appropriate and Inappropriate Blowing Styles.