Timbre recognition of single notes using an ARTMAP neural network

Fragoulis, D; Avaritsiotis, J; Papaodysseus, C

dc.contributor.author	Fragoulis, D	en
dc.contributor.author	Avaritsiotis, J	en
dc.contributor.author	Papaodysseus, C	en
dc.date.accessioned	2014-03-01T01:48:26Z
dc.date.available	2014-03-01T01:48:26Z
dc.date.issued	1999	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/25478
dc.subject	Musical Instruments	en
dc.subject	Neural Network	en
dc.subject	Neural Network Model	en
dc.title	Timbre recognition of single notes using an ARTMAP neural network	en
heal.type	journalArticle	en
heal.identifier.primary	10.1109/ICECS.1999.813404	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ICECS.1999.813404	en
heal.publicationDate	1999	en
heal.abstract	In this paper, a model for the perception of musical instrument timbre is presented. The model uses an ARTMAP neural network to distinguish single notes played by five different instruments. The duration of each note is quite short. The recognition of timbre is based on three acoustic properties: spectral synchrony, slope of the attacks and spectral distribution. Arrays of values	en
dc.identifier.doi	10.1109/ICECS.1999.813404	en