EEP: Ensemble Expressive Performance Dataset
The dataset contains 23 multimodal recordings of string quartet performance. Acquired data includes the audio of each performance in separate tracks: up to two ambient tracks and individual tracks acquired through contact microphones. In addition each recording includes instrumental motion capture and a set of derived instrumental bowing descriptors for each musician. The recordings were made as part of the experiments on ensemble expressive performance reported in the following article:
Marco Marchini, Rafael Ramirez, Panos Papiotis, and Esteban Maestre. "The sense of ensemble: a machine learning approach to expressive performance modelling in string quartets". Journal of New Music Research, 43 (3):303–317, 2014.
The dataset contains five extracts from Beethoven’s Concerto N.4, Op. 18:
- (I) Allegro-Prestissimo movement,
- (P.1) Allegro ma non tanto movement (bars 54-78)
- (P.2) Allegro ma non tanto movement (bars 138-151)
- (P.3) Menuetto (bars 8-50)
- (P.4) Allegro-Prestissimo (bars 28-45)
The piece (I) was recorded 3 times with increasing degrees of expressiveness:
- Mechanical
- Normal interpreted
- Exaggerated
The pieces (P.1-P.4) were recorded 5 times each:
- Ensemble performance
- Solo performance of Violin 1
- Solo performance of Violin 2
- Solo performance of Viola
- Solo performance of Cello
The musicians have given their explicit approval for this dataset to be made public.