Music Information Retrieval with Python

Overzicht

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.

Lesprogramma

• Introduction to Music Information Retrieval (MIR)
Overview of MIR
Applications of MIR in AI and music
• Python Fundamentals for MIR
Setting up Python environment
Introduction to relevant Python libraries
• Audio Signal Processing Basics
Understanding waveforms and spectrograms
Introduction to Fourier Transform
• Feature Extraction
Pitch and tempo detection
Timbre analysis
Chroma features
• Music Analysis Using Python
Analyzing melody and harmony
Rhythm and beat detection
Structure and segmentation
• Machine Learning for MIR
Supervised vs. unsupervised learning
Classifying music genres
Training models on music datasets
• Music Synthesis and Generation
Overview of generative models
Using RNNs and GANs for music generation
• Building Interactive Music Systems
Designing real-time music applications
User interaction and creativity tools
• Advanced Topics in MIR
Music recommendation systems
Audio fingerprinting and music identification
• Project and Practical Application
Developing a complete MIR project
Presentation and peer review of projects
• Course Review and Future Directions
Summary of key concepts
Latest trends and research in MIR

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Vakgebieden

Conference Talks