Digital audio concepts (samples, frames, blocks)

MIDI (Musical Instrument Digital Interface)

Discrete event simulation

Scheduling algorithms

Virtual time

Tempo

Markov models

Music grammars

Open Sound Control (OSC)

Clock synchronization

Laptop orchestra

Standard MIDI File format

Max/MSP/Jitter

Music robots

Audio plug-ins

Music information retrieval

Dynamic programming

Concurrency

Synchronization (computer science)

Real-time systems

Musical notation

Sensors and instruments

Machine learning for music

Chroma feature

Beat detection

Audio editing software

15-323 / 15-623 Computer Music Systems and Information Processing Carnegie Mellon University Spring 2019 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.   

15-323 / 15-623 Computer Music Systems and Information Processing

Interdisciplinary

Digital audio concepts (samples, frames, blocks)

1 courses cover this concept

15-323 / 15-623 Computer Music Systems and Information Processing