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To measure the perceived emotions caused by musical audio signals we propose to use “Free Choice Profiling” (FCP) combined with “Natural Grouping” (NG). FCP/NG – originally derived from food research and new to the research of music perception – allow participants to evaluate stimuli using own vocabulary. To evaluate the proposed methods, we conducted an experiment in which 16 participants had to assess major-major and minor-minor chord pairs. Unlike one could expect, allowing participants to express their perception freely does not lead to a degeneration of the quality of the data. Instead, clearly interpretable results consistent with music theory and emotional psychology were obtained. These results encourage further investigations, which could lead to a general method for assessing emotions in music.
Author (s): Schneider, Sebastian;
Raschke, Florian;
Gatzsche, Gabriel;
Strohmeier, Dominik;
Affiliation:
Ilmenau University of Technology, Ilmenau, Germany; Fraunhofer IDMT, Ilmenau, Germany
(See document for exact affiliation information.)
AES Convention: 126
Paper Number:7786
Publication Date:
2009-05-06
Session subject:
Assessment and Evaluation
DOI:
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Schneider, Sebastian; Raschke, Florian; Gatzsche, Gabriel; Strohmeier, Dominik; 2009; Free Choice Profiling and Natural Grouping as Methods for the Assessment of Emotions in Musical Audio Signals [PDF]; Ilmenau University of Technology, Ilmenau, Germany; Fraunhofer IDMT, Ilmenau, Germany; Paper 7786; Available from: https://aes.org/publications/elibrary-page/?id=14982
Schneider, Sebastian; Raschke, Florian; Gatzsche, Gabriel; Strohmeier, Dominik; Free Choice Profiling and Natural Grouping as Methods for the Assessment of Emotions in Musical Audio Signals [PDF]; Ilmenau University of Technology, Ilmenau, Germany; Fraunhofer IDMT, Ilmenau, Germany; Paper 7786; 2009 Available: https://aes.org/publications/elibrary-page/?id=14982
@inproceedings{Schneider2009free,
title={{Free Choice Profiling and Natural Grouping as Methods for the Assessment of Emotions in Musical Audio Signals}},
author={Schneider, Sebastian and Raschke, Florian and Gatzsche, Gabriel and Strohmeier, Dominik},
year={2009},
month={may},
booktitle={Journal of the Audio Engineering Society},
publisher={Paper 7786; AES Convention 126; May 2009},
number={7786},
organization={AES},
}
TY – paper
TI – Free Choice Profiling and Natural Grouping as Methods for the Assessment of Emotions in Musical Audio Signals
AU – Schneider, Sebastian
AU – Raschke, Florian
AU – Gatzsche, Gabriel
AU – Strohmeier, Dominik
PY – 2009
JO – Journal of the Audio Engineering Society
VL – 7786
Y1 – May 2009
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