Feature Extraction and Machine Learning in Computational Music Theory - Class 28

Explore advanced computational music analysis techniques in this 51-minute lecture from MIT's Computational Music Theory and Analysis course. Learn from guest speaker Kiki Gutierres as he presents his computational research work on Pinkfong's Baby Shark song and other musical corpora. Delve into feature extraction methodologies and analyze similarity and difference patterns in melody examples using machine learning approaches. Gain insights into how computational tools can be applied to understand musical structures and patterns across different musical works. Discover practical applications of machine learning in music theory and analysis through real-world examples and research findings.