Authors:Euler Teixeira, Maurício Loureiro, Hani Yehia, Marcelo M. Wanderley
Publication or Conference Title:Proceedings of the 2013 International Conference on Sound and Music Computing (SMC2013)
This work presents a method to represent, segment and analyze the recurrence patterns on motion data during musical performances. Physical gestures were extracted during clarinet performances and analyzed according to gestural features, comparing different musicians, musical passages and performance styles. The gestural aspects of the performances were related to the musical structure and its expressive content, and an acoustical analysis validated the results. Results show a recurrent sequence of clarinet gestures inside a defined region of interest, shown to be a key moment in the music.