This course introduces the basics of Digital Signal Processing and computational acoustics, motivated by the vibrational physics of real-world objects and systems. We will build from a simple mass-spring and pendulum to demonstrate oscillation, learn how to simulate those systems in the computer, and also prove that these simple oscillations behave as a sine wave. From that we move to plucked strings and struck bars, showing both solutions as combined traveling waves and combined sine wave harmonics. We continue to build and simulate more complex systems containing many vibrating objects and resonators (stringed instruments, drum, plate), and also learn how to simulate echos and room reverberation. Through this process, we will learn about digital signals, filters, oscillators, harmonics, spectral analysis, linear and non-linear systems, particle models, and all the necessary building blocks to synthesize essentially any sound. The free open-source software provided will make it possible for anyone to use physical models in their art-making, game or movie sound, or any other application.
Recommended (highly) Textbook:
Perry R. Cook is Emeritus Professor of Computer Science (also Music) at Princeton University, founding advisor/consultant to social music company SMule, and consulting professor at CalArts, Stanford CCRMA. With Dan Trueman, he co-founded the Princeton Laptop Orchestra, which received a MacArthur Digital Learning Initiative Grant in 2005. With Ge Wang, Cook is co-author of the ChucK Programming Language. His newest book is “Programming for Digital Musicians and Artists,” with Ajay Kapur, Spencer Salazar, and Ge Wang. The recipient of a 2003 Guggenheim Fellowship, Cook is (still) working on a new book, "La Bella Voce e La Macchina (the Beautiful Voice and the Machine), A History of Technology and the Expressive Voice." Perry is also co-founder of Kadenze.
Julius O. Smith normally teaches a music signal-processing course sequence and supervises related research at the Center for Computer Research in Music and Acoustics (CCRMA). He is formally a professor of music and (by courtesy) electrical engineering. In 1975, he received his BS/EE degree from Rice University, where he got started in the field of digital signal processing and modeling for control. In 1983, he received the PhD/EE degree from Stanford University, specializing in techniques for digital filter design and system identification, with application to violin modeling. His work history includes the Signal Processing Department at Electromagnetic Systems Laboratories, Inc., working on systems for digital communications, the Adaptive Systems Department at Systems Control Technology, Inc., working on research problems in adaptive filtering and spectral estimation, and NeXT Computer, Inc., where he was responsible for sound, music, and signal processing software for the NeXT computer workstation. Prof. Smith is a Fellow of the Audio Engineering Society and the Acoustical Society of America. He is the author of four online books and numerous research publications in his field.