Gerhard Widmer, Soeren Madsen,
"Exploring Pianist Performance Styles with Evolutionary String Matching"
, in International Journal of Artificial Intelligence Tools, Vol. 15, Nummer 4, Seite(n) 495-514, 2006
Original Titel:
Exploring Pianist Performance Styles with Evolutionary String Matching
Sprache des Titels:
Englisch
Original Kurzfassung:
We propose novel machine learning methods for exploring the domain of music perfor-
mance praxis. Based on simple measurements of timing and intensity in 12 recordings
of a Schubert piano piece, short performance sequences are fed into a SOM algorithm in
order to calculate ‘performance archetypes’. The archetypes are labeled with letters and
approximate string matching done by an evolutionary algorithm is applied to find simi-
larities in the performances represented by these letters. We present a way of measuring
each pianist’s habit of playing similar phrases in similar ways and propose a ranking
of the performers based on that. Finally, an experiment revealing common expression
patterns is briefly described.
Keywords: Self Organizing Map, Evolutionary Algorithm, Approximate String Matching,
Expressive Music Performance
Sprache der Kurzfassung:
Englisch
Journal:
International Journal of Artificial Intelligence Tools
Volume:
15
Number:
4
Seitenreferenz:
495-514
Erscheinungsjahr:
2006
Anzahl der Seiten:
20
Reichweite:
international
Publikationstyp:
Aufsatz / Paper in sonstiger referierter Fachzeitschrift
Forschungs-