Audio Features Affected by Music Expressiveness
Information Retrieval
2016-05-19 v1 Sound
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 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.
Cite
@article{arxiv.1605.05369,
title = {Audio Features Affected by Music Expressiveness},
author = {Alberto Introini and Giorgio Presti and Giuseppe Boccignone},
journal= {arXiv preprint arXiv:1605.05369},
year = {2016}
}
Comments
Submitted to ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2016), Pisa, Italy, July 17-21, 2016