| dc.creator |
Grachten, Maarten |
|
| dc.creator |
Arcos, Josep Ll. |
|
| dc.creator |
Lopez de Mantaras, Ramon |
|
| dc.date |
2008-03-18T15:09:15Z |
|
| dc.date |
2008-03-18T15:09:15Z |
|
| dc.date |
2006 |
|
| dc.date.accessioned |
2017-01-31T01:00:44Z |
|
| dc.date.available |
2017-01-31T01:00:44Z |
|
| dc.identifier |
Proceedings of the Twenty-First National Conference on Artificial Intelligence, AAAI-06: July 16–20, 2006, Boston, Massachusetts. AAAI Press, Vol. 2, p.p.: 1609-1612. |
|
| dc.identifier |
978-1-57735-281-5 |
|
| dc.identifier |
http://hdl.handle.net/10261/3250 |
|
| dc.identifier.uri |
http://dspace.mediu.edu.my:8181/xmlui/handle/10261/3250 |
|
| dc.description |
The original publication is available at
www.aaai.org |
|
| dc.description |
The research described in this paper focuses on global tempo
transformations of monophonic audio recordings of saxophone
jazz performances. More concretely, we have investigated
the problem of how a performance played at a particular
tempo can be automatically rendered at another tempo
while preserving its expressivity. To do so we have developed
a case-based reasoning system called TempoExpress.
The results we have obtained have been extensively compared
against a standard technique called uniform time stretching
(UTS), and show that our approach is superior to UTS. |
|
| dc.description |
Peer reviewed |
|
| dc.format |
262668 bytes |
|
| dc.format |
application/pdf |
|
| dc.language |
eng |
|
| dc.rights |
openAccess |
|
| dc.subject |
Artificial Intelligence |
|
| dc.subject |
Case-Based Reasoning |
|
| dc.subject |
CBR |
|
| dc.subject |
Computational Models of Music |
|
| dc.title |
TempoExpress: An Expressivity-Preserving Musical Tempo Transformation |
|
| dc.type |
Comunicación de congreso |
|