2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583)
DOI: 10.1109/icsmc.2004.1398322
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Correlation of synesthesia and common recognition concerning music and color

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“…e third type is the emotional model based on cognitive mechanisms, such as the EM emotional model, the Roseman emotional model, the EMA emotional model, and the salt and pepper emotional model [16]. e Hevner emotion ring model, the Russell emotion model, and the ayer emotion model are widely used in music emotion recognition; based on the Hevner emotion ring model [17], the music emotion can be classified and the music emotion type corresponds to the adjective in the Hevner emotion ring model; based on the Russell or ayer two-dimensional emotional model of music, the specific emotion of music can be mapped as a point in the emotional plane of "valence-incentive" (the horizontal axis corresponds to the effect value, the vertical axis corresponds to the incentive value), and the regression and classification of music emotions can be achieved by applying machine learning methods [18]. Due to differences in cultural background, age, gender, personality, and musical preferences, as well as the influence of external factors such as the perceived environment, people's descriptions of musical emotions to the same song may vary from person to person, and the adjectives that describe musical emotions themselves have a considerable degree of ambiguity [19].…”
Section: Introductionmentioning
confidence: 99%
“…e third type is the emotional model based on cognitive mechanisms, such as the EM emotional model, the Roseman emotional model, the EMA emotional model, and the salt and pepper emotional model [16]. e Hevner emotion ring model, the Russell emotion model, and the ayer emotion model are widely used in music emotion recognition; based on the Hevner emotion ring model [17], the music emotion can be classified and the music emotion type corresponds to the adjective in the Hevner emotion ring model; based on the Russell or ayer two-dimensional emotional model of music, the specific emotion of music can be mapped as a point in the emotional plane of "valence-incentive" (the horizontal axis corresponds to the effect value, the vertical axis corresponds to the incentive value), and the regression and classification of music emotions can be achieved by applying machine learning methods [18]. Due to differences in cultural background, age, gender, personality, and musical preferences, as well as the influence of external factors such as the perceived environment, people's descriptions of musical emotions to the same song may vary from person to person, and the adjectives that describe musical emotions themselves have a considerable degree of ambiguity [19].…”
Section: Introductionmentioning
confidence: 99%