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http://dspace.mediu.edu.my:8181/xmlui/handle/10261/3163Full metadata record
| DC Field | Value | Language |
|---|---|---|
| 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 | - |
| Appears in Collections: | Digital Csic | |
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