Applications of digital signal processing in computer music

Recent developments in signal processing have opened many new lines of inquiry in computer music. Areas where signal processing techniques are appropriate include measurement and observation, signal representation, transformation, analysis, and synthesis of musical sound. Topics addressed in this paper include representational requirements for music, segmentation and analysis techniques such as linear predictive coding, the phase vocoder, data reduction, filtering, and synthesis. Examples will be given within the context of a digital signal processing paradigm developed at C.A.R.L. that tightly couples the facilities of UNIX operating system with research tools for computer music.