Musical Melody and Emotional Evocation - An Empirical Study from Statistical Analysis

[1] Chabin, T., Pazart, L., & Gabriel, D. (2022). Vocal melody and musical background are simultaneously processed by the brain for musical predictions. Annals of the New York Academy of Sciences, 1512(1), 126–140. Search in Google Scholar

[2] Masatomo, N. (2007). The study of relationship between listening to music and mood change musical tempo and melody, preference music influence on a mood scale and relaxation state. Bulletin of the Graduate School of Social & Cultural Studies Nihon University. Search in Google Scholar

[3] Vlker, J. (2021). Personalising music for more effective mood induction: exploring activation, underlying mechanisms, emotional intelligence, and motives in mood regulation:. Musicae Scientiae, 25(4), 380–398. Search in Google Scholar

[4] Campbell, E. A., Berezina, E., & Gill, C. M. H. D. (2021). The effects of music induction on mood and affect in an asian context:. Psychology of Music, 49(5), 1132–1144. Search in Google Scholar

[5] Altun, F., & Egermann, H. (2021). Temperament systems influence emotion induction but not makam recognition performance in turkish makam music. Psychology of Music, 49(5), 1088–1101. Search in Google Scholar

[6] Zhang, W., Liu, F., Zhou, L., Wang, W., Jiang, H., & Jiang, C. (2019). The effects of timbre on neural responses to musical emotion. Music Perception(2). Search in Google Scholar

[7] Xu, J., Zhou, L., Liu, F., Xue, C., Jiang, J., & Jiang, C. (2021). The autistic brain can process local but not global emotion regularities in facial and musical sequences. Autism Research. Search in Google Scholar

[8] Lange, E. B., & Frieler, K. (2018). Challenges and opportunities of predicting musical emotions with perceptual and automatized features. Music Perception, 36(2), 217–242. Search in Google Scholar

[9] Barradas, G. T., & Sakka, L. S. (2022). When words matter: a cross-cultural perspective on lyrics and their relationship to musical emotions:. Psychology of Music, 50(2), 650–669. Search in Google Scholar

[10] Yinger, O. S., & Springer, D. G. (2022). Using psycholinguistic inquiry and content analysis to investigate emotions in memories of musical experiences:. Musicae Scientiae, 26(2), 227–242. Search in Google Scholar

[11] Warrenburg, L. A. (2020). Choosing the right tune: a review of music stimuli used in emotion research. Music Perception(3). Search in Google Scholar

[12] Xu, L., Wen, X., Shi, J., Li, S., & Qian, X. (2020). Effects of individual factors on perceived emotion and felt emotion of music: based on machine learning methods. Psychology of Music, 030573562092842. Search in Google Scholar

[13] He, J. X., Zhou, L., Liu, Z. T., & Hu, X. Y. (2020). Digital empirical research of influencing factors of musical emotion classification based on pleasure-arousal musical emotion fuzzy model. Journal of Advanced Computatioanl Intelligence and Intelligent Informatics(7 TN.147), 24. Search in Google Scholar

[14] Wang, J., Wang, Q., & Liu, H. (2021). Emotion recognition of musical instruments based on convolution long short time memory depth neural network. Journal of Physics: Conference Series, 1976(1), 012015 (5pp). Search in Google Scholar

[15] Grekow, J. (2018). From content-based music emotion recognition to emotion maps of musical pieces. Studies in Computational Intelligence. Search in Google Scholar

[16] Wu, X., & Sun, G. (2018). Music-induced emotions and musical regulation and emotion improvement based on eeg technology. NeuroQuantology, 16(6), 379–384. Search in Google Scholar

[17] Manuel Tizón, & Francisco Gómez. (2020). The influence of musical style in perceived emotion. Revista Electronica Complutense de Investigacion Musical, 17, 109–131. Search in Google Scholar

[18] Azevedo, B. C. F. D., & Bressan, G. M. (2018). A comparison of classifiers for musical genres classification and music emotion recognition. Advances in mathematical sciences and applications(2), 27. Search in Google Scholar

[19] Yang, S., Reed, C. N., Chew, E., & Barthet, M. (2021). Examining emotion perception agreement in live music performance. IEEE Transactions on Affective Computing, PP(99), 1–1. Search in Google Scholar

[20] Wilson, K. P., & Preis, J. (2018). Ability of adults with autism spectrum disorder to identify emotions using visual and musical stimuli. International Journal on Disability and Human Development, 17(2), 201–210. Search in Google Scholar

[21] Grace, V., Huberth, M., & Fujioka, T. (2019). Effects of extramusical information and human presence on perceived emotion intensity in electronic music. Psychomusicology: Music, Mind, and Brain, 29(2–3), 117–127. Search in Google Scholar

[22] Kelly, B. O., Anderson, C. J., & Schutz, M. (2021). Exploring changes in the emotional classification of music between eras. Auditory Perception & Cognition.(1/4), 4. Search in Google Scholar