Publications

Expressivity-preserving Tempo Transformation for Music - A case.based approach

Publication Type:

Conference Paper

Authors:

Ramon López de Mántaras; Maarten Grachten; Josep Lluis Arcos

Source:

Lecture Notes in Artificial Intelligence, Springer, Volume 4314, p.1-6 (2007)

Abstract:

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 develppoped 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.

Projects: 
CBR-ProMusic
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