Within a Music Information Retrieval perspective, the goal of the study presented here is to investigate the impact on sound features of the musician's affective intention, namely when trying to intentionally convey emotional contents via expressiveness. A preliminary experiment has been performed involving 10 tuba players. The recordings have been analysed by extracting a variety of features, which have been subsequently evaluated by combining both classic and machine learning statistical techniques. Results are reported and discussed.

Audio features affected by music expressiveness : experimental setup and preliminary results on tuba players / A. Introini, G. Presti, G. Boccignone - In: SIGIR '16Prima edizione. - [s.l] : ACM, 2016. - ISBN 9781450340694. - pp. 757-760 (( Intervento presentato al 39. convegno SIGIR tenutosi a Pisa nel 2016 [10.1145/2911451.2914690].

Audio features affected by music expressiveness : experimental setup and preliminary results on tuba players

G. Presti
;
G. Boccignone
Ultimo
2016

Abstract

Within a Music Information Retrieval perspective, the goal of the study presented here is to investigate the impact on sound features of the musician's affective intention, namely when trying to intentionally convey emotional contents via expressiveness. A preliminary experiment has been performed involving 10 tuba players. The recordings have been analysed by extracting a variety of features, which have been subsequently evaluated by combining both classic and machine learning statistical techniques. Results are reported and discussed.
Settore INF/01 - Informatica
2016
ACM
Book Part (author)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/423790
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