Automatic Musical Instrument and Note Recognition

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


We propose a sound recognizer that uses a reduced featureset to identify musical instruments from single notes in sound recordingsas well as the note that was played. The recognizer learns a set of spectralfeatures from the data using non-negative matrix factorization.The accuracy of the recognizer is very high for both instrument and noteclassi cation: the recognition rate for instruments ranged from 94% to100%, while for note identi cation ranged from 86% to 100%.
Original languageUnknown
Title of host publicationProceedings of INForum
Publication statusPublished - 1 Jan 2011
Duration: 1 Jan 2011 → …


Period1/01/11 → …

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