Note:
This bibliographic page is archived and will no longer be updated.
For an up-to-date list of publications from the Music Technology Group see the
Publications list
.
Understanding expressive music performance using genetic algorithms
| Title | Understanding expressive music performance using genetic algorithms |
| Publication Type | Conference Paper |
| Year of Publication | 2005 |
| Conference Name | Lecture Notes in Computer Science 3449 |
| Authors | Ramirez, R. , & Hazan A. |
| Abstract | In this paper, we describe an approach to learning expressive performance rules from monophonic Jazz standards recordings by a skilled saxophonist. We use a melodic transcription system which extracts a set of acoustic features from the recordings producing a melodic representation of the expressive performance played by the musician. We apply genetic algorithms to this representation in order to induce rules of expressive music performance. It turns out that some of the induced rules represent extremely simple principles which are surprisingly general. |
| preprint/postprint document | files/publications/Evomusart05-RamirezHazan.pdf |
