Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/10261/3099
Title: Tempo-Express, a CBR Approach to Musical Tempo Transformations
Keywords: Artificial Intelligence
TempoExpress
Case-Based Reasoning
Publisher: Springer
Description: The original publication is available at www.springerlink.com
In this paper, we describe a CBR system for applying musically acceptable tempo transformations to monophonic audio recordings of musical performances. Within the tempo transformation process, the expressivity of the performance is adjusted in such a way that the result sounds natural for the new tempo. A case base of previously performed melodies is used to infer the appropriate expressivity. Tempo transformation is one of the audio post-processing tasks manually done in audiolabs. Automatizing this process may, therefore, be of industrial interest.
This research has been partially supported by the Spanish Ministry of Science and Technology under the project TIC 2003-07776-C2-02 "CBR-ProMusic: Content-based Music Processing using CBR" and EU-FEDER funds.
Peer reviewed
URI: http://dspace.mediu.edu.my:8181/xmlui/handle/10261/3099
Other Identifiers: Advances in Case-Based Reasoning, 7th European Conference, ECCBR 2004 Madrid, Spain, August/ September 2004 Proceedings. Lecture Notes in Artificial Intelligence Vol. 3155, p.p.: 601-615, Springer Verlag, 2004.
3-540-22882-9
0302-9743
http://hdl.handle.net/10261/3099
Appears in Collections:Digital Csic

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