Automated classification of piano-guitar notes

Fragoulis, D; Papaodysseus, C; Exarhos, M; Roussopoulos, G; Panagopoulos, T; Kamarotos, D

dc.contributor.author	Fragoulis, D	en
dc.contributor.author	Papaodysseus, C	en
dc.contributor.author	Exarhos, M	en
dc.contributor.author	Roussopoulos, G	en
dc.contributor.author	Panagopoulos, T	en
dc.contributor.author	Kamarotos, D	en
dc.date.accessioned	2014-03-01T01:23:39Z
dc.date.available	2014-03-01T01:23:39Z
dc.date.issued	2006	en
dc.identifier.issn	1558-7916	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/17069
dc.subject	Musical instrument classification	en
dc.subject	Noontonal spectrum	en
dc.subject	Timbre identification	en
dc.subject	Timbre recognition	en
dc.subject.classification	Acoustics	en
dc.subject.classification	Engineering, Electrical & Electronic	en
dc.subject.other	Musical instrument classification	en
dc.subject.other	Noontonal spectrum	en
dc.subject.other	Timbre identification	en
dc.subject.other	Timbre recognition	en
dc.subject.other	Acoustics	en
dc.subject.other	Classification (of information)	en
dc.subject.other	Spectrum analysis	en
dc.subject.other	Speech analysis	en
dc.subject.other	Musical instruments	en
dc.title	Automated classification of piano-guitar notes	en
heal.type	journalArticle	en
heal.identifier.primary	10.1109/TSA.2005.857571	en
heal.identifier.secondary	http://dx.doi.org/10.1109/TSA.2005.857571	en
heal.language	English	en
heal.publicationDate	2006	en
heal.abstract	In this paper, a new decisively important factor in both the perceptual and the automated piano-guitar identification process is introduced. This factor is determined by the nontonal spectral content of a note, while it is, in practice, totally independent of the note spectrum tonal part This conclusion and all related results are based on a number of extended acoustical experiments, performed over the full pitch range of each instrument. The notes have been recorded from six different performers each of whom played a different instrument. Next, a number of powerful criteria for the classification between guitar and piano is proposed. Using these criteria, automated classification between 754 piano and guitar test notes has been achieved with a 100% success rate. © 2006 IEEE.	en
heal.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC	en
heal.journalName	IEEE Transactions on Audio, Speech and Language Processing	en
dc.identifier.doi	10.1109/TSA.2005.857571	en
dc.identifier.isi	ISI:000237140500028	en
dc.identifier.volume	14	en
dc.identifier.issue	3	en
dc.identifier.spage	1040	en
dc.identifier.epage	1050	en