Carlos Eduardo Cancino-Chacón, Ivan Pilkov,
"The Rach3 Dataset: Towards Data-Driven Analysis of Piano Performance Rehearsal"
: Proceedings of the Multimedia Modeling Conference MMM24, Seite(n) 28-41, 3-2024
Original Titel:
The Rach3 Dataset: Towards Data-Driven Analysis of Piano Performance Rehearsal
Sprache des Titels:
Englisch
Original Buchtitel:
Proceedings of the Multimedia Modeling Conference MMM24
Original Kurzfassung:
Musicians spend more time practicing than performing live,
but the process of rehearsal has been understudied. This paper introduces
a dataset for using AI and machine learning to address this gap. The
project observes the progression of pianists learning new repertoire over
long periods of time by recording their rehearsals, generating a comprehensive multimodal dataset, the Rach3 dataset, with video, audio, and
MIDI for computational analysis. This dataset will help investigating
the way in which advanced students and professional classical musicians,
particularly pianists, learn new music and develop their own expressive
interpretations of a piece.
Forschungs-