Please use this identifier to cite or link to this item:
http://dspace.mediu.edu.my:8181/xmlui/handle/10261/3163| Title: | Melodic Similarity: Looking for a Good Abstraction Level |
| Keywords: | Artificial Intelligence Case-Based Reasoning |
| Publisher: | Universitat Pompeu Fabra |
| 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. Peer reviewed |
| URI: | http://dspace.mediu.edu.my:8181/xmlui/handle/10261/3163 |
| Other Identifiers: | ISMIR 2004, 5th. International Conference on Music Information Retrieval. Proceedings. Universitat Pompeu Fabra, Barcelona, Spain, October 10-14, 2004, p.p.: 210-215. http://hdl.handle.net/10261/3163 |
| Appears in Collections: | Digital Csic |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.