Abstract
In this paper the problem of music performer verification is introduced. Given a certain performance of a musical piece and a set of candidate pianists the task is to examine whether or not a particular pianist is the actual performer. A database of 22 pianists playing pieces by F. Chopin in a computer-controlled piano is used in the presented experiments. An appropriate set of features that captures the idiosyncrasies of music performers is proposed. Well-known machine learning techniques for constructing learning ensembles are applied and remarkable results are described in verifying the actual pianist, a very difficult task even for human experts.
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© 2004 Springer-Verlag Berlin Heidelberg
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Stamatatos, E., Kavallieratou, E. (2004). Music Performer Verification Based on Learning Ensembles. In: Vouros, G.A., Panayiotopoulos, T. (eds) Methods and Applications of Artificial Intelligence. SETN 2004. Lecture Notes in Computer Science(), vol 3025. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24674-9_14
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DOI: https://doi.org/10.1007/978-3-540-24674-9_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-21937-8
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