Digital Empirical Research of Influencing Factors of Musical Emotion Classification Based on Pleasure-Arousal Musical Emotion Fuzzy Model
Jing-Xian He*1,*2, Li Zhou*1,, Zhen-Tao Liu*3,*4, and Xin-Yue Hu*1
*1School of Arts and Communication, China University of Geosciences
388 Lumo Road, Hongshan District, Wuhan, Hubei 430074, China
*2School of Danyang Normal, Zhenjiang College
No.518 Changxiang West Avenue, College Park, Zhenjiang City, Jiangsu 212000, China
*3School of Automation, China University of Geosciences
388 Lumo Road, Hongshan District, Wuhan, Hubei 430074, China
*4Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems
Wuhan, Hubei 430074, China
In recent years, with the further breakthrough of artificial intelligence theory and technology, as well as the further expansion of the Internet scale, the recognition of human emotions and the necessity for satisfying human psychological needs in future artificial intelligence technology development tendencies have been highlighted, in addition to physical task accomplishment. Musical emotion classification is an important research topic in artificial intelligence. The key premise of realizing music emotion classification is to construct a musical emotion model that conforms to the characteristics of music emotion recognition. Currently, three types of music emotion classification models are available: discrete category, continuous dimensional, and music emotion-specific models. The pleasure-arousal music emotion fuzzy model, which includes a wide range of emotions compared with other models, is selected as the emotional classification system in this study to investigate the influencing factor for musical emotion classification. Two representative emotional attributes, i.e., speed and strength, are used as variables. Based on test experiments involving music and non-music majors combined with questionnaire results, the relationship between music properties and emotional changes under the pleasure-arousal model is revealed quantitatively.
-  R. W. Picard, “Affective Computing,” MIT Press, 1997.
-  J. A. Russell, “A cicumplex model of affect,” J. of Personality and Social Psychology, Vol.39, No.6, pp. 1161-1178, 1980.
-  J. Posner, J. A. Russell, and B. S. Peterson, “The cicumplex model of affect: An integrative approach to affective neuroscience, cognitive development, and psychopathology,” Development and Psychopathology, Vol.17, No.3, pp. 715-734, 2005.
-  P. Gilbert, “The Biopsychology of Mood and Arousal. Rovert E. Thayer,” The Quarterly Review of Biology, Vol.67, No.3, p. 406, 1992.
-  A. Mehrabian, “Pleasure-arousal-dominance: A general framework for describing and measuring individual differences in Temperament,” Current Psychology, Vol.14, No.4, pp. 261-292, 1996.
-  A. Bittermann, K. Kuhnlenz, and M. Buss, “On the Evaluation of Emotion Expressing Robots,” Proc. of 2007 IEEE Int. Conf. on Robotics and Automation, pp. 2138-2143, 2007.
-  K. Hevner, “Experimental studies of the elements of expression in music,” American J. of Psychology, Vol.48 No.2, pp. 246-268, 1936.
-  S. Sun et al., “Study on Linguistic Computing for Music Emotion,” J. of Beijing University of Posts and Telecommunications, No.z2, pp. 35-40, 2006.
-  M. Zentner, D. Grandjean, and K. R. Scherer, “Emotions evoked by the sound of music: characterization, classification, and measurement,” Emotion, Vol.8, No.4, pp. 494-521, 2008.
-  S. Huang, L. Zhou, Z. Liu, S. Ni, and J. He, “Empirical Research on a Fuzzy Model of Music Emotion Classification Based on Pleasure-Arousal Model,” The 37th Chinese Control Conf., pp. 3239-3244, 2018.
-  A. Gabrielsson, “Emotions in strong experiences with music,” P. Juslin and J. Sloboda (Eds.), “Music and Emotion: Theory and Research,” pp. 431-449, Oxford University Press, 2001.
-  K. R. Scherer and M. R. Zentner, “Emotional effects of music: Production rules,” P. N. Juslin and J. A. Sloboda (Eds.), “Music and Emotion: Theory and Research,” pp. 361-392, Oxford University Press, 2001.
-  X. Zhou, “An Empirical Study on the Influence of Melody Forms on Emotion Induction,” Southwest University, 2019.
-  L. Zhang and F. Pan, “The role of speed and mode in inducing emotional response: Evidence from traditional Chinese and Western music,” Exploratory Psychology, Vol.37, No.6, pp. 549-554, 2017.
-  W. Huang, “An Empirical Study of the Influence of Classical Music on College Students’ Emotions,” Hunan Normal University, 2007.
-  X. Fan, “An Empirical Study of the Influence of Guqin Music on the Emotion of College Students in Music Colleges,” Wuhan Conservatory of Music, 2013.
-  E. Altenmüller et al., “Hits to the left, flops to the right: different emotions during listening to music are reflected in cortical lateralisation patterns,” Neuropsychologia, Vol.40, No.13, 2002.
-  R. Mo, R. H. Y. So, and A. B. Horner, “How Does Parametric Reverberation Change the Space of Instrument Emotional Characteristics?,” 43rd Int. Computer Music Conf., 2017.
-  D. Västfjäll, P. Larsson, and M. Kleiner, “Emotion and the auditory virtual environment: Affect-Based judgment of virtual reverberation times,” Cyberpsychology and Behavior, Vol.5, No.1, pp. 19-32, 2002.
-  D. Zhang, “The influence of store background music on consumer purchase approach behavior,” Dongbei University of Finance and Economics, Master Thesis, 2013 (in Chinese).
-  P. N. Juslin and D. Västfjäll, “Emotional responses to music: The need to consider underlying mechanisms: Erratum,” Behavioral and Brain Sciences, Vol.31, No.6, p. 751, 2008.
-  R. He, “An Empirical Study on the Influence of Musical Melody Expectation on Emotional Experience,” Master Thesis, Southwest University, 2019 (in Chinese).
-  M. Li, “An Empirical Study of the Influence of Rhythm Structure on Emotion,” Master Thesis, Southwest University, 2015 (in Chinese).
-  H. Ma et al., “The influence of music culture experience on music emotional processing,” Chinese Science Bulletin, Vol.20, pp. 2287-2300, 2017.
-  S. Garrido and E. Schubert, “Individual differences in the enjoyment of negative emotion in music: A literature review and experiment,” Music Perception, Vol.28, No.3, pp. 279-296, 2011.
-  J. Hou and C. Liu, “The Research of Brain Waves about Emotional Activity Induced by Different Musical Conformations Composing of Mode and Tempo: A Combined Representational Character of Musical Training Experience and Gender,” Psychological Exploration, Vol.30, No.6, pp. 86-93, 2010.
-  W. F. Thompson and G. Ilie, “A Comparison of Acoustic Cues in Music and Speech for Three Dimensions of Affect,” Music Perception, Vol.23, No.4, pp. 319-330, 2006.
-  Y. Lu, “The influence of music factors, personality and situation on music emotions,” Master Thesis, Southwest University, 2014 (in Chinese).