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http://dspace.mediu.edu.my:8181/xmlui/handle/10261/3250Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.creator | Grachten, Maarten | - |
| dc.creator | Arcos, Josep Ll. | - |
| dc.creator | Lopez de Mantaras, Ramon | - |
| dc.date | 2008-03-18T15:09:15Z | - |
| 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 | - |
| Appears in Collections: | Digital Csic | |
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