Spring 2019
Carnegie Mellon University
This course explores discrete music information representation and manipulation. It introduces timed event sequences, MIDI protocol, and non-real-time processing techniques like Markov models and algorithmic composition. Prior knowledge of course 15-122 is required.
This course presents concepts and techniques for representing and manipulating discrete music information, both in real time and off line. Representations of music as explicitly timed event sequences will be introduced, and students will learn how to build efficient run-time systems for event scheduling, tempo control, and interactive processing. The MIDI protocol is used to capture real-time performance information and to generate sound. The course will also cover non-real-time processing of music data, including Markov models, style recognition, computer accompaniment, query-by-humming, and algorithmic composition. This course is independent of, and complementary to 15-322, Introduction to Computer Music, which focuses on sound synthesis and signal processing. The pre-requisite for this course is 15-122.
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Fall 2022
Stanford University