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Explore algorithmic composition techniques through this 52-minute lecture from MIT's Computational Music Theory and Analysis course. Delve into the mathematical foundations of computer-generated music by examining Markov chains and their applications in creating musical sequences. Learn to implement Chord and Roman Numeral analysis tools within the Music21 framework, gaining practical skills for computational music analysis and generation. Master the intersection of probability theory and musical composition as you discover how algorithms can create coherent musical structures and progressions.
