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S. Schneider, F. Raschke, G. Gatzsche, and D. Strohmeier, "Free Choice Profiling and Natural Grouping as Methods for the Assessment of Emotions in Musical Audio Signals," Paper 7786, (2009 May.). doi: S. Schneider, F. Raschke, G. Gatzsche, and D. Strohmeier, "Free Choice Profiling and Natural Grouping as Methods for the Assessment of Emotions in Musical Audio Signals," Paper 7786, (2009 May.). doi:
Abstract: 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.

@article{schneider2009free,
author={schneider, sebastian and raschke, florian and gatzsche, gabriel and strohmeier, dominik},
journal={journal of the audio engineering society},
title={free choice profiling and natural grouping as methods for the assessment of emotions in musical audio signals},
year={2009},
volume={},
number={},
pages={},
doi={},
month={may},} @article{schneider2009free,
author={schneider, sebastian and raschke, florian and gatzsche, gabriel and strohmeier, dominik},
journal={journal of the audio engineering society},
title={free choice profiling and natural grouping as methods for the assessment of emotions in musical audio signals},
year={2009},
volume={},
number={},
pages={},
doi={},
month={may},
abstract={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.},}

TY - paper
TI - Free Choice Profiling and Natural Grouping as Methods for the Assessment of Emotions in Musical Audio Signals
SP - EP -
AU - Schneider, Sebastian
AU - Raschke, Florian
AU - Gatzsche, Gabriel
AU - Strohmeier, Dominik
PY - 2009
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2009 TY - paper
TI - Free Choice Profiling and Natural Grouping as Methods for the Assessment of Emotions in Musical Audio Signals
SP - EP -
AU - Schneider, Sebastian
AU - Raschke, Florian
AU - Gatzsche, Gabriel
AU - Strohmeier, Dominik
PY - 2009
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2009
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.