| dc.creator |
Grachten, Maarten |
|
| dc.creator |
Arcos, Josep Ll. |
|
| dc.creator |
Lopez de Mantaras, Ramon |
|
| dc.date |
2008-03-06T10:08:17Z |
|
| dc.date |
2008-03-06T10:08:17Z |
|
| dc.date |
2004 |
|
| dc.date.accessioned |
2017-01-31T01:00:35Z |
|
| dc.date.available |
2017-01-31T01:00:35Z |
|
| dc.identifier |
ISMIR 2004, 5th. International Conference on Music Information Retrieval. Proceedings. Universitat Pompeu Fabra, Barcelona, Spain, October 10-14, 2004, p.p.: 210-215. |
|
| dc.identifier |
http://hdl.handle.net/10261/3163 |
|
| dc.identifier.uri |
http://dspace.mediu.edu.my:8181/xmlui/handle/10261/3163 |
|
| dc.description |
Computing melodic similarity is a very general problem
with diverse musical applications ranging from music analysis
to content-based retrieval. Choosing the appropriate
level of representation is a crucial issue and depends on
the type of application. Our research interest concerns the
development of a CBR system for expressive music processing.
In that context, a well chosen distance measure
for melodies is a crucial issue. In this paper we propose
a new melodic similarity measure based on the I/R model
for melodic structure and compare it with other existing
measures. The experimentation shows that the proposed
measure provides a good compromise between discriminatory
power and the level of abstraction of melody representation. |
|
| dc.description |
Peer reviewed |
|
| dc.format |
94115 bytes |
|
| dc.format |
application/pdf |
|
| dc.language |
eng |
|
| dc.publisher |
Universitat Pompeu Fabra |
|
| dc.rights |
openAccess |
|
| dc.subject |
Artificial Intelligence |
|
| dc.subject |
Case-Based Reasoning |
|
| dc.title |
Melodic Similarity: Looking for a Good Abstraction Level |
|
| dc.type |
Comunicación de congreso |
|