Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/10261/3250
Title: TempoExpress: An Expressivity-Preserving Musical Tempo Transformation
Keywords: Artificial Intelligence
Case-Based Reasoning
CBR
Computational Models of Music
Description: The original publication is available at www.aaai.org
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.
Peer reviewed
URI: http://dspace.mediu.edu.my:8181/xmlui/handle/10261/3250
Other Identifiers: 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.
978-1-57735-281-5
http://hdl.handle.net/10261/3250
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.