@conference {IIIA-2007-1308, title = {Expressivity-preserving Tempo Transformation for Music - A case.based approach}, booktitle = {Lecture Notes in Artificial Intelligence}, volume = {4314}, year = {2007}, pages = {1-6}, publisher = {Springer}, organization = {Springer}, 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.}, author = {Ramon L{\'o}pez de M{\'a}ntaras and Maarten Grachten and Josep Lluis Arcos} }