New approach to the automatic recognition of musical recordings

Papaodysseus, C; Roussopoulos, G; Fragoulis, D; Panagopoulos, Th; Alexiou, C

dc.contributor.author	Papaodysseus, C	en
dc.contributor.author	Roussopoulos, G	en
dc.contributor.author	Fragoulis, D	en
dc.contributor.author	Panagopoulos, Th	en
dc.contributor.author	Alexiou, C	en
dc.date.accessioned	2014-03-01T01:16:01Z
dc.date.available	2014-03-01T01:16:01Z
dc.date.issued	2001	en
dc.identifier.issn	0004-7554	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/13885
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-0035099428&partnerID=40&md5=d8da3a1da35d0aaea647d2c26f0f13f7	en
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-0035099428&partnerID=40&md5=d8da3a1da35d0aaea647d2c26f0f13f7	en
dc.subject.classification	Acoustics	en
dc.subject.classification	Engineering, Multidisciplinary	en
dc.subject.other	Algorithms	en
dc.subject.other	Computer hardware	en
dc.subject.other	Database systems	en
dc.subject.other	Digital signal processing	en
dc.subject.other	Feature extraction	en
dc.subject.other	Pattern matching	en
dc.subject.other	Signal distortion	en
dc.subject.other	Automatic recognition	en
dc.subject.other	Musical recordings	en
dc.subject.other	Stereophonic recordings	en
dc.title	New approach to the automatic recognition of musical recordings	en
heal.type	journalArticle	en
heal.language	English	en
heal.publicationDate	2001	en
heal.abstract	A new methodology for the automatic recognition of musical recordings is presented. A system has been developed that performs recognition among a set of specific musical recordings. The system claims a high rate of success (greater than 86%), even when the unknown compositions have suffered from up to a medium degree of distortion. It comprises a database of musical characteristics that correspond to a set of model musical recordings. These characteristics are derived by applying novel feature extraction algorithms to every model musical recording selected. In order to determine whether an unknown musical recording corresponds to a piece represented in the database, the same feature extraction algorithm is applied to it, and the characteristics thus derived are compared to the database contents by means of a set of criteria. The system can operate in parallel, essentially in real time, even for a considerable number of model musical recordings, as long as the hardware necessary is available.	en
heal.publisher	Audio Engineering Soc,Inc., New York, NY, United States	en
heal.journalName	AES: Journal of the Audio Engineering Society	en
dc.identifier.isi	ISI:000166859800003	en
dc.identifier.volume	49	en
dc.identifier.issue	1-2	en
dc.identifier.spage	23	en
dc.identifier.epage	35	en