Description
Book Synopsis.- 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.
