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 |