MelodyMaker
Interactive music generation with AI using MusicVAE.
- Master Project by Nathan Katzman
MelodyMaker is a cutting-edge project that merges human creativity with the power of artificial intelligence. Designed as an interactive system, it allows users to click on virtual piano keys to create a starting sequence, which the system then extends by generating a seamless melody continuation using MusicVAE. This project highlights the practical application of machine learning in the creative domain of music generation, offering an engaging and intuitive experience.
About MusicVAE
MusicVAE is a state-of-the-art variational autoencoder model for generating and interpolating musical sequences. By learning a latent space for music, it enables the creation of smooth transitions between melodies or the continuation of user-provided sequences. MusicVAE is a powerful tool at the intersection of artificial intelligence and the creative arts.
Learn more about MusicVAE:
MusicVAE: Creating a Palette for Musical Scores
Project Features
- Interactive User Interface: A virtual piano interface allows users to input a starting melody sequence through intuitive clicks.
- AI-Powered Melody Generation: Leverages MusicVAE to generate creative and seamless musical continuations.
- Educational Insights: Provides a hands-on introduction to machine learning techniques in music generation.
- Human-AI Collaboration: Demonstrates the synergy between human creativity and machine intelligence.
Objectives
- Interactive Design: Develop an intuitive interface for user interaction.
- AI Integration: Seamlessly integrate MusicVAE to enhance melody generation capabilities.
- Hands-On Learning: Provide Nathan with practical experience in building machine learning-driven interactive systems.
- User Engagement: Deliver an accessible and engaging experience for exploring AI-generated music.