Identifying Musical Performance Behavior in Instrumentalists Using Computer-Based Sound Spectrum Analysis.
Fred J. Rees, Rainer M. Michelis · Bulletin of the Council for Research in Music Education · 1991
Computer-aided learning (CAL) is receiving increased attention as a tool for learning music. The growing array of software, particularly for composition, notation, music theory, and aural perception, coupled with the availability of more sophisticated microcomputers, is becoming attractive to college and university music professors who seek systems for teaching individual learners on and off campus. Additionally, some of the programs that have become available in these fields are incorporating judging, remedial, tutorial, and branching techniques in their lesson designs, thereby making them more educationally meaningful. One area of CAL that has received little treatment in music education is instrumental pedagogy. Historically, the principal reasons for this circumstance have been threefold: (a) the limits in memory and processing speed of the inexpensive microcomputers generally available to music professors; (b) the limited capability of affordable sound processing technology to provide responses to users regarding the quality and accuracy of their musical performances, and (c) the lack of software relevant to instrumental music teaching.