Free Choice Profiling and Natural Grouping as Methods for the Assessment of Emotions in Musical Audio Signals

Schneider S, Raschke F, Gatzsche G, Strohmeier D. Free Choice Profiling and Natural Grouping as Methods for the Assessment of Emotions in Musical Audio Signals. In: AES Convention 126. Audio Engineering Society; 2009. Paper 7786. Available from: https://aes.org/publications/elibrary-page/?id=14982

@inproceedings{Schneider2009_14982,
  author = {Schneider, Sebastian and Raschke, Florian and Gatzsche, Gabriel and Strohmeier, Dominik},
  title = {{Free Choice Profiling and Natural Grouping as Methods for the Assessment of Emotions in Musical Audio Signals}},
  booktitle = {AES Convention 126},
  note = {Paper 7786},
  year = {2009},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=14982}
}

TY  - CPAPER
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
T2  - AES Convention 126
M1  - Paper 7786
PY  - 2009
DA  - 2009/05/06
UR  - https://aes.org/publications/elibrary-page/?id=14982
PB  - Audio Engineering Society
LA  - en
AB  - 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.
ER  -