Music and Sound Generation in the AI Era (el. knyga) (skaityta knyga) | knygos.lt

Aprašymas

.- 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.