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Starts 7 June 2025 13:37
Ends 7 June 2025
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Overview
Explore musical AI and Python-powered music information retrieval. Learn to analyze, generate, and interact with music using code, with no prior music theory knowledge required.
Syllabus
- Introduction to Music Information Retrieval (MIR)
- Python Fundamentals for MIR
- Audio Signal Processing Basics
- Feature Extraction
- Music Analysis Using Python
- Machine Learning for MIR
- Music Synthesis and Generation
- Building Interactive Music Systems
- Advanced Topics in MIR
- Project and Practical Application
- Course Review and Future Directions
Overview of MIR
Applications of MIR in AI and music
Setting up Python environment
Introduction to relevant Python libraries
Understanding waveforms and spectrograms
Introduction to Fourier Transform
Pitch and tempo detection
Timbre analysis
Chroma features
Analyzing melody and harmony
Rhythm and beat detection
Structure and segmentation
Supervised vs. unsupervised learning
Classifying music genres
Training models on music datasets
Overview of generative models
Using RNNs and GANs for music generation
Designing real-time music applications
User interaction and creativity tools
Music recommendation systems
Audio fingerprinting and music identification
Developing a complete MIR project
Presentation and peer review of projects
Summary of key concepts
Latest trends and research in MIR
Subjects
Conference Talks
