Introduction to Real-Time Audio Programming Using Sonic Pi and ChucK
Lecture Notes on Computer Science
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This text offers a comprehensive set of lecture notes introducing live audio programming through the use of Sonic Pi and ChucK, two powerful and versatile tools for creating music with code. These notes are intended to act as a course companion, not necessarily a standalone text for self-study unless the reader already has some familiarity with studying programming languages. Students will first develop a solid foundation in Ruby programming before diving into Sonic Pi, where they will explore the basics of sound synthesis, rhythm, melody, harmony, sample manipulation, and effects. Throughout ...
This text offers a comprehensive set of lecture notes introducing live audio programming through the use of Sonic Pi and ChucK, two powerful and versatile tools for creating music with code. These notes are intended to act as a course companion, not necessarily a standalone text for self-study unless the reader already has some familiarity with studying programming languages. Students will first develop a solid foundation in Ruby programming before diving into Sonic Pi, where they will explore the basics of sound synthesis, rhythm, melody, harmony, sample manipulation, and effects. Throughout the course, students will learn advanced techniques in live coding, sound design, and generative music, along with integrating external tools like MIDI and OSC for collaborative performances. The latter end of the course will focus on ChucK, where students will further refine their skills in sound synthesis, real-time audio processing, and advanced programming concepts. The course culminates in a final project where students will combine their knowledge of Sonic Pi and ChucK to create and perform a live audio programming piece. Likewise, this text includes a set of appendices containing applied course assignments and supplemental notes on music theory (excluding classical voice leading) - hence, students should be expected to have prerequisite knowledge of introductory music theory and computer programming (e.g., in Python or Ruby, ideally).
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