Abstract
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 language | Unknown |
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Title of host publication | Proceedings of INForum |
Pages | 550-555 |
Publication status | Published - 1 Jan 2011 |
Event | INFORUM - Duration: 1 Jan 2011 → … |
Conference
Conference | INFORUM |
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Period | 1/01/11 → … |