| Authors: | Stamatatos E., Kavallieratou E. |
|---|
| Title: | Music Performer Verification Based on Learning Ensembles |
|---|
| Conference: | Methods and Applications of Artificial Intelligence |
|---|
| Editors: | G. Vouros |
|---|
| Ed: | Yes |
|---|
| Eds: | No |
|---|
| Pages: | 122 – 131 |
|---|
| To appear: | No |
|---|
| Month: | |
|---|
| Year: | 2004 |
|---|
| Place: | |
|---|
| Pubisher: | |
|---|
| Link: | |
|---|
| File name: | |
|---|
| 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 computercontrolled
piano is used in the presented experiments. An appropriate set of features
that captures the idiosyncrasies of music performers is proposed. Wellknown
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. |
|---|
Greek