Buchumschlag

ComposeOn Academy: Transforming Melodic Ideas into Complete Compositions Integrating Music Learning

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Pu, Hongxi, Jiang, Futian, Chen, Zihao, Song, Xingyue
Format:	Preprint
Veröffentlicht:	2025
Schlagworte:	Human-Computer Interaction Artificial Intelligence
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

IdeaSynth: Iterative Research Idea Development Through Evolving and Composing Idea Facets with Literature-Grounded Feedback
von: Pu, Kevin, et al.
Veröffentlicht: (2024)

ReaLJam: Real-Time Human-AI Music Jamming with Reinforcement Learning-Tuned Transformers
von: Scarlatos, Alexander, et al.
Veröffentlicht: (2025)

The Effect of Idea Elaboration on the Automatic Assessment of Idea Originality
von: Domanti, Umberto, et al.
Veröffentlicht: (2026)

Mozualization: Crafting Music and Visual Representation with Multimodal AI
von: Xu, Wanfang, et al.
Veröffentlicht: (2025)

MEEG and AT-DGNN: Improving EEG Emotion Recognition with Music Introducing and Graph-based Learning
von: Xiao, Minghao, et al.
Veröffentlicht: (2024)

Exploring the Design of Generative AI in Supporting Music-based Reminiscence for Older Adults
von: Jin, Yucheng, et al.
Veröffentlicht: (2024)

Maestoso: An Intelligent Educational Sketching Tool for Learning Music Theory
von: Taele, Paul, et al.
Veröffentlicht: (2025)

Supporting Creative Ownership through Deep Learning-Based Music Variation
von: Krol, Stephen James, et al.
Veröffentlicht: (2025)

Advancing Music Therapy: Integrating Eastern Five-Element Music Theory and Western Techniques with AI in the Novel Five-Element Harmony System
von: Zhou, Yubo, et al.
Veröffentlicht: (2024)

Digital Transformation Chatbot (DTchatbot): Integrating Large Language Model-based Chatbot in Acquiring Digital Transformation Needs
von: Zheng, Jiawei, et al.
Veröffentlicht: (2025)

Reactive Writers: How Co-Writing with AI Changes How We Engage with Ideas
von: Bhat, Advait, et al.
Veröffentlicht: (2026)

Interactive Sketchpad: A Multimodal Tutoring System for Collaborative, Visual Problem-Solving
von: Chen, Steven-Shine, et al.
Veröffentlicht: (2025)

Exploratory Study Of Human-AI Interaction For Hindustani Music
von: Shikarpur, Nithya, et al.
Veröffentlicht: (2024)

Between the AI and Me: Analysing Listeners' Perspectives on AI- and Human-Composed Progressive Metal Music
von: Sarmento, Pedro, et al.
Veröffentlicht: (2024)

Opening Musical Creativity? Embedded Ideologies in Generative-AI Music Systems
von: Pram, Liam, et al.
Veröffentlicht: (2025)

Music Interpretation and Emotion Perception: A Computational and Neurophysiological Investigation
von: Lyberatos, Vassilis, et al.
Veröffentlicht: (2025)

How Problematic Writer-AI Interactions (Rather than Problematic AI) Hinder Writers' Idea Generation
von: Umarova, Khonzoda, et al.
Veröffentlicht: (2025)

LitPivot: Developing Well-Situated Research Ideas Through Dynamic Contextualization and Critique within the Literature Landscape
von: Kambhamettu, Hita, et al.
Veröffentlicht: (2026)

JELAI: Integrating AI and Learning Analytics in Jupyter Notebooks
von: Torre, Manuel Valle, et al.
Veröffentlicht: (2025)

Examining and Addressing Barriers to Diversity in LLM-Generated Ideas
von: Deng, Yuting, et al.
Veröffentlicht: (2026)

Generation Probabilities Are Not Enough: Uncertainty Highlighting in AI Code Completions
von: Vasconcelos, Helena, et al.
Veröffentlicht: (2023)

Perception of AI-Generated Music -- The Role of Composer Identity, Personality Traits, Music Preferences, and Perceived Humanness
von: Stammer, David, et al.
Veröffentlicht: (2025)

Composers' Evaluations of an AI Music Tool: Insights for Human-Centred Design
von: Row, Eleanor, et al.
Veröffentlicht: (2024)

Exploring the Collaborative Co-Creation Process with AI: A Case Study in Novice Music Production
von: Fu, Yue, et al.
Veröffentlicht: (2025)

Integrating AI in College Education: Positive yet Mixed Experiences with ChatGPT
von: Song, Xinrui, et al.
Veröffentlicht: (2024)

AromaGen: Interactive Generation of Rich Olfactory Experiences with Multimodal Language Models
von: Wen, Yunge, et al.
Veröffentlicht: (2026)

Investigating In-Context Privacy Learning by Integrating User-Facing Privacy Tools into Conversational Agents
von: Nezhad, Mohammad Hadi, et al.
Veröffentlicht: (2026)

Intelligent support for Human Oversight: Integrating Reinforcement Learning with Gaze Simulation to Personalize Highlighting
von: Klößner, Thorsten, et al.
Veröffentlicht: (2026)

Integrating Causal Machine Learning into Clinical Decision Support Systems: Insights from Literature and Practice
von: Zipperling, Domenique, et al.
Veröffentlicht: (2026)

LLM-Assisted Knowledge Graph Completion for Curriculum and Domain Modelling in Personalized Higher Education Recommendations
von: Abu-Rasheed, Hasan, et al.
Veröffentlicht: (2025)

Echoes of Humanity: Exploring the Perceived Humanness of AI Music
von: Figueiredo, Flavio, et al.
Veröffentlicht: (2025)

Simulating Human Behavior with the Psychological-mechanism Agent: Integrating Feeling, Thought, and Action
von: Dong, Qing, et al.
Veröffentlicht: (2025)

"Are We Done Yet?": A Vision-Based Judge for Autonomous Task Completion of Computer Use Agents
von: Sumyk, Marta, et al.
Veröffentlicht: (2025)

Integrating Natural Language Processing and Exercise Monitoring for Early Diagnosis of Metabolic Syndrome: A Deep Learning Approach
von: Zhao, Yichen, et al.
Veröffentlicht: (2025)

Interactive Multi-Robot Flocking with Gesture Responsiveness and Musical Accompaniment
von: Cuan, Catie, et al.
Veröffentlicht: (2024)

Is ChatGPT More Empathetic than Humans?
von: Welivita, Anuradha, et al.
Veröffentlicht: (2024)

StoryEnsemble: Enabling Dynamic Exploration & Iteration in the Design Process with AI and Forward-Backward Propagation
von: Suh, Sangho, et al.
Veröffentlicht: (2025)

Enhancing Patient-Centric Communication: Leveraging LLMs to Simulate Patient Perspectives
von: Ma, Xinyao, et al.
Veröffentlicht: (2025)

Trustworthy Human-AI Collaboration: Reinforcement Learning with Human Feedback and Physics Knowledge for Safe Autonomous Driving
von: Huang, Zilin, et al.
Veröffentlicht: (2024)

Faster Completion, Less Learning: Generative AI Reduced Study Time on Math Problems and the Knowledge They Build
von: Rismanchian, Sina, et al.
Veröffentlicht: (2026)