dc.creator |
Grachten, Maarten |
|
dc.creator |
Arcos, Josep Ll. |
|
dc.creator |
Lopez de Mantaras, Ramon |
|
dc.date |
2008-02-27T16:07:56Z |
|
dc.date |
2008-02-27T16:07:56Z |
|
dc.date |
2004 |
|
dc.date.accessioned |
2017-01-31T01:00:26Z |
|
dc.date.available |
2017-01-31T01:00:26Z |
|
dc.identifier |
Advances in Case-Based Reasoning, 7th European Conference, ECCBR 2004 Madrid, Spain, August/ September 2004 Proceedings. Lecture Notes in Artificial Intelligence Vol. 3155, p.p.: 601-615, Springer Verlag, 2004. |
|
dc.identifier |
3-540-22882-9 |
|
dc.identifier |
0302-9743 |
|
dc.identifier |
http://hdl.handle.net/10261/3099 |
|
dc.identifier.uri |
http://dspace.mediu.edu.my:8181/xmlui/handle/10261/3099 |
|
dc.description |
The original publication is available at www.springerlink.com |
|
dc.description |
In this paper, we describe a CBR system for applying musically acceptable tempo transformations to monophonic audio recordings of musical performances. Within the tempo transformation process, the expressivity of the performance is adjusted in such a way that the result sounds natural for the new tempo. A case base of previously performed melodies is used to infer the appropriate expressivity. Tempo transformation is one of the audio post-processing tasks manually done in audiolabs. Automatizing this process may, therefore, be of industrial interest. |
|
dc.description |
This research has been partially supported by the Spanish Ministry of Science and Technology under the project TIC 2003-07776-C2-02 "CBR-ProMusic: Content-based Music Processing using CBR" and EU-FEDER funds. |
|
dc.description |
Peer reviewed |
|
dc.format |
252465 bytes |
|
dc.format |
application/pdf |
|
dc.language |
eng |
|
dc.publisher |
Springer |
|
dc.rights |
openAccess |
|
dc.subject |
Artificial Intelligence |
|
dc.subject |
TempoExpress |
|
dc.subject |
Case-Based Reasoning |
|
dc.title |
Tempo-Express, a CBR Approach to Musical Tempo Transformations |
|
dc.type |
Artículo |
|