Source separation and note identification in polyphonic music

Experiments in automatic music recognition at CCRMA have been in progress for five years. Digitized sound recordings of instrumental music are analyzed and transcribed by computer. The current effort is directed at polyphonic examples with a variety of instruments and musical styles. The paper discusses acoustic analysis issues in accurately transcribing polyphonic input. The overall goal of the work is to provide a tool for the study of musical performance, for applications requiring tracking of live musicians, for manuscript work and for segmentation of digital audio recordings.