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J. Liebetrau, and S. Schneider, "Music and Emotions: A Comparison of Measurement Methods," Paper 8875, (2013 May.). doi: J. Liebetrau, and S. Schneider, "Music and Emotions: A Comparison of Measurement Methods," Paper 8875, (2013 May.). doi:
Abstract: Music emotion recognition (MER) as a part of music information retrieval (MIR), examines the question which parts of music evoke what emotions and how can they be automatically classified. Classification systems need to be trained in terms of feature selection and prediction. Due to the subjectivity of emotions, the generation of appropriate ground truth data poses challenges for MER. This paper describes obstacles of defining and measuring emotions evoked by music. Two methods, in principle able to overcome problems in measuring affective states induced by music, are outlined and their results are compared. Although the results of both methods are in line with psychological theories of emotions, the question remains how good the perceived emotions are captured by either method and if these methods are sufficient for ground truth generation.

@article{liebetrau2013music,
author={liebetrau, judith and schneider, sebastian},
journal={journal of the audio engineering society},
title={music and emotions: a comparison of measurement methods},
year={2013},
volume={},
number={},
pages={},
doi={},
month={may},} @article{liebetrau2013music,
author={liebetrau, judith and schneider, sebastian},
journal={journal of the audio engineering society},
title={music and emotions: a comparison of measurement methods},
year={2013},
volume={},
number={},
pages={},
doi={},
month={may},
abstract={music emotion recognition (mer) as a part of music information retrieval (mir), examines the question which parts of music evoke what emotions and how can they be automatically classified. classification systems need to be trained in terms of feature selection and prediction. due to the subjectivity of emotions, the generation of appropriate ground truth data poses challenges for mer. this paper describes obstacles of defining and measuring emotions evoked by music. two methods, in principle able to overcome problems in measuring affective states induced by music, are outlined and their results are compared. although the results of both methods are in line with psychological theories of emotions, the question remains how good the perceived emotions are captured by either method and if these methods are sufficient for ground truth generation.},}

TY - paper
TI - Music and Emotions: A Comparison of Measurement Methods
SP - EP -
AU - Liebetrau, Judith
AU - Schneider, Sebastian
PY - 2013
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2013 TY - paper
TI - Music and Emotions: A Comparison of Measurement Methods
SP - EP -
AU - Liebetrau, Judith
AU - Schneider, Sebastian
PY - 2013
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2013
AB - Music emotion recognition (MER) as a part of music information retrieval (MIR), examines the question which parts of music evoke what emotions and how can they be automatically classified. Classification systems need to be trained in terms of feature selection and prediction. Due to the subjectivity of emotions, the generation of appropriate ground truth data poses challenges for MER. This paper describes obstacles of defining and measuring emotions evoked by music. Two methods, in principle able to overcome problems in measuring affective states induced by music, are outlined and their results are compared. Although the results of both methods are in line with psychological theories of emotions, the question remains how good the perceived emotions are captured by either method and if these methods are sufficient for ground truth generation.