Enhancing Digital Signal Processing Education With Audio Signal Processing And Music Synthesis
Author(s) -
E. Doering,
Sam Shearman,
Erik Luther
Publication year - 2020
Publication title -
papers on engineering education repository (american society for engineering education)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.18260/1-2--3951
Subject(s) - audio signal processing , digital audio , signal processing , computer science , digital signal processing , signal (programming language) , audio signal , audio electronics , audio signal flow , speech recognition , digital signal , multimedia , computer hardware , programming language
Audio signal processing and music synthesis are familiar, accessible and engaging motivators for students to study digital signal processing (DSP). Hands-on project activities encourage deeper understanding of DSP concepts, and are used regularly in ECE481, a course that covers music synthesis for engineering majors at Rose-Hulman Institute of Technology. Students implement and experiment with music synthesis algorithms on a computer to gain a better appreciation for relationships between theory, sound, and visual representation of signals (time series, spectrum, and spectrogram). The LabVIEW graphical programming platform provides extensive support for DSP programming and soundcard operations, enabling students to quickly implement algorithms using graphical dataflow programming. The interactive user interface elements (controls and indicators) appear automatically while creating the graphical program, so the result is inherently interactive. ECE481 was recently revised to use LabVIEW, and students reported a high degree of satisfaction with the new approach.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom