Interactive Learning of Signal Processing Through Music: Making Fourier Analysis Concrete for Students
Meinard Müeller, Brian McFee, Katherine M. Kinnaird
Abstract
In this artaicle, we illustrate how music may serve as a vehicle to support education in signal processing. Using Fourier analysis as a concrete example, we demonstrate how the music domain provides motivating and tangible applications that make learning signal processing an interactive pursuit. Furthermore, we indicate how software tools, originally developed for music analysis, provide students multiple entry points to delve deeper into classical signal processing techniques while bridging the gap between education and cutting-edge research.
Topics & Concepts
Signal processingComputer scienceBridging (networking)SIGNAL (programming language)SoftwareDomain (mathematical analysis)Fourier transformMultidimensional signal processingMusic theoryMultimediaHuman–computer interactionSpeech recognitionDigital signal processingMusicalComputer hardwareMathematicsComputer networkArtVisual artsMathematical analysisProgramming languageMusic Technology and Sound StudiesMusic and Audio ProcessingNeuroscience and Music Perception