Agres, K. R., Dash, A., & Chua, P. (2023, April). AffectMachine-Classical: A novel system for generating affective classical music. arXiv :2304.04915v1
https://arxiv.org/pdf/2304.04915.pdf
Athavle, M., Mudale, D., Shrivastav, U., & Gupta, M. (2021). Music recommendation based on face emotion recognition. Journal of Informatics Electrical and Electronics Engineering (JIEEE), 2(2), 1–11. https://doi.org/10.54060/jieee/002.02.018
Bharucha, J. J., & Stoeckig, K. (1986). Reaction time and musical expectancy: Priming of chords. Journal of Experimental Psychology: Human Perception and Performance, 12(4), 403–410. https://doi.org/10.1037/0096-1523.12.4.403
Bharucha, J. J. (1987). Music Cognition and Perceptual Facilitation: a Connectionist framework. Music Perception, 5(1), 1–30. https://doi.org/10.2307/40285384
Bian, W., Song, Y., Gu, N., Chan, T. Y., Lo, T., Li, T., Wong, K. C. K., Xue, W., & Trillo, R. A. (2023). MoMusic: a Motion-Driven Human-AI collaborative music composition and performing system. Proceedings of the AAAI Conference on Artificial Intelligence, 37(13), 16057–16062. https://doi.org/10.1609/aaai.v37i13.26907
Biasutti, M. (2015, May). PEDAGOGICAL APPLICATIONS OF COGNITIVE RESEARCH ON MUSICAL IMPROVISATION. Frontiers in Psychology.
https://www.frontiersin.org/articles/10.3389/fpsyg.2015.00614/full
Caputo, A., Kletenik, D., & Steinberg, J. (2021). A study on the perception of Algorithmic Composition music. https://www.semanticscholar.org/paper/A-Study-on-the-Perception-of-Algorithmic-Music-Caputo-Kletenik/3a4288cdf06a774ae84e2df16ac3d8d96e13e0a5
Carraturo, G., Pando‐Naude, V., Costa, M., Vuust, P., Bonetti, L., & Brattico, E. (2023). The major-minor mode dichotomy in music perception: A systematic review on its behavioural, physiological, and clinical correlates. bioRxiv (Cold Spring Harbor Laboratory). https://doi.org/10.1101/2023.03.16.532764
Chlan, L. L., Heiderscheit, A., Skaar, D. J., & Neidecker, M. V. (2018). Economic Evaluation of a Patient-Directed Music Intervention for ICU patients receiving mechanical ventilatory support*. Critical Care Medicine, 46(9), 1430–1435. https://doi.org/10.1097/ccm.0000000000003199
Chung, J. & Vercoe, G. S. (2006, April). The affective remixer: personalized music arranging.
CHI '06 Extended Abstracts on Human Factors in Computing Systems, 393–398
https://dl.acm.org/doi/abs/10.1145/1125451.1125535
Edwards, E., St Hillaire-Clarke, C., Frankowski, D. W., Finkelstein, R., Cheever, T. R., Chen, W. G., Onken, L. S., Poremba, A., Riddle, R., Schloesser, D., Burgdorf, C. E., Wells, N., Fleming, R., & Collins, F. S. (2023). NIH Music-Based Intervention Toolkit: Music-Based Interventions for Brain Disorders of Aging. Neurology, 100(18), 868–878. https://doi.org/10.1212/wnl.0000000000206797
Fernández, J., & Vico, F. J. (2013). AI Methods in Algorithmic Composition: A Comprehensive survey. Journal of Artificial Intelligence Research, 48, 513–582. https://doi.org/10.1613/jair.3908
Franěk, M., Petružálek, J., & Šefara, D. (2022). Facial Expressions and Self-Reported Emotions when viewing Nature images. International Journal of Environmental Research and Public Health, 19(17), 10588. https://doi.org/10.3390/ijerph191710588
Frühholz, S., Trost, W., & Grandjean, D. (2014). The role of the medial temporal limbic system in processing emotions in voice and music. Progress in Neurobiology, 123, 1–17. https://doi.org/10.1016/j.pneurobio.2014.09.003
Fu, V. X., Oomens, P., Klimek, M., Verhofstad, M. H. J., & Jeekel, J. (2020, December). THE EFFECT OF PERIOPERATIVE MUSIC ON MEDICATION REQUIREMENT AND HOSPITAL LENGTH OF STAY: A META-ANALYSIS. Annals of Surgery, Vol. 272
No. 6. https://pubmed.ncbi.nlm.nih.gov/31356272/
Galińska, E. (2015). Music therapy in neurological rehabilitation settings. Psychiatria Polska, 49(4), 835–846. https://doi.org/10.12740/pp/25557
Ghetti, C., Chen, X., Fachner, J., & Gold, C. (2017). Music therapy for people with substance use disorders. The Cochrane Library. https://doi.org/10.1002/14651858.cd012576
Grimaud, A.M. & Eerola, T. (2020, April). EmoteControl: an interactive system for real-time control of emotional expression in music. Personal and Ubiquitous Computing 25:677–689. https://doi.org/10.1007/s00779-020-01390-7
Golden, T. L., Springs, S., Kimmel, H. J., Gupta, S., Tiedemann, A., Sandu, C. C., & Magsamen, S. (2021). The Use of music in the treatment and Management of Serious Mental Illness: A Global Scoping Review of the literature. Frontiers in Psychology, 12. https://doi.org/10.3389/fpsyg.2021.649840
Guerrier, G., Bernabei, F., Lehmann, M., Pellegrini, M., Giannaccare, G., & Rothschild, P-R. (2021, September). EFFICACY OF PREOPERATIVE MUSIC INTERVENTION ON PAIN AND ANXIETY IN PATIENTS UNDERGOING CATARACT SURGERY. Frontiers in Pharmacology. https://doi.org/10.3389/fphar.2021.748296
Haruvi, A., Kopito, R., Brande-Eilat, N., Kalev, S., Kay, E., & Furman, D. (2021, April). DIFFERENCES IN THE EFFECTS ON HUMAN FOCUS OF MUSIC PLAYLISTS AND PERSONALIZED SOUNDSCAPES, AS MEASURED BY BRAIN SIGNALS. Arctop, Research & Development. https://www.biorxiv.org/content/10.1101/2021.04.02.438269v1.full
He, J. (2022). Algorithm composition and emotion recognition based on machine learning. Computational Intelligence and Neuroscience, 2022, 1–10. https://doi.org/10.1155/2022/1092383
Hiller, L. A., & Isaacson, L. M. (1958, July). Musical Composition with a High-Speed Digital Computer. Journal of the Audio Engineering Society, 6(3), 154-160. https://www.aes.org/e-lib/browse.cfm?elib=231
Hohmann, L., Bradt, J., Stegemann, T., & Koelsch, S. (2017). Effects of music therapy and music-based interventions in the treatment of substance use disorders: A systematic review. PLOS ONE, 12(11), e0187363. https://doi.org/10.1371/journal.pone.0187363
Hou, Y. (2022, July). AI Music Therapist: A Study on Generating Specific Therapeutic Music based on Deep Generative Adversarial Network Approach. (n.d.). IEEE Conference Publication | IEEE Xplore.
https://ieeexplore.ieee.org/document/9832398
Huang, C-F. & Lin, E-J. (2013). AN EMOTION-BASED METHOD TO PERFORM
ALGORITHMIC COMPOSITION. Proceedings of the 3rd International Conference on
Music & Emotion (ICME3), Jyväskylä, Finland, 11th - 15th June 2013.
https://jyx.jyu.fi/handle/123456789/41590#
James, W. (1890). The Principles of Psychology. New York: Henry Holt and Company the Principles of Psychology.
http://dx.doi.org/10.1037/11059-000
Janssen, J., Van den Broek, E. L., & Westerink, J. H. D. M. (2011). Tune in to your emotions: a robust personalized affective music player. User Modeling and User-Adapted Interaction, 22(3), 255–279. https://doi.org/10.1007/s11257-011-9107-7
Jespersen, K. V., Otto, M., Kringelbach, M. L., Van Someren, E. J., & Vuust, P. (2019). A randomized controlled trial of bedtime music for insomnia disorder. Journal of Sleep Research, 28(4). https://doi.org/10.1111/jsr.12817
Juslin, P., Barradas, G., & Eerola, T. (2015). From Sound to Significance: Exploring the mechanisms underlying emotional reactions to music. American Journal of Psychology, 128(3), 281–304. https://doi.org/10.5406/amerjpsyc.128.3.0281
Kamath, P., Li, Z., Gupta, C., Jaidka, K., Nanayakkara, S., & Wyse, L. (2023, March). Evaluating Descriptive Quality of AI-Generated Audio Using Image-Schemas. Proceedings of the 28th International Conference on Intelligent User Interfaces, 621–632.
https://dl.acm.org/doi/10.1145/3581641.3584083
Kayser, D., Egermann, H., & Barraclough, N. E. (2021). Audience facial expressions detected by automated face analysis software reflect emotions in music. Behavior Research Methods, 54(3), 1493–1507. https://doi.org/10.3758/s13428-021-01678-3
Kellaris, J. J. (1992). The experience of time as a function of musical loudness and gender of listener. ACR. https://www.acrwebsite.org/volumes/7380
Klepzig, K., Stender, K., Lotze, M., & Hamm, A. O. (2022). Written in the face? Facial expressions during pleasant and unpleasant chills. Psychology of Music, 51(3), 952–970. https://doi.org/10.1177/03057356221122607
Kowald, D., Muellner, P., Zangerle, E., Bauer, C., Schedl, M., & Lex, E. (2021, February). SUPPORT THE UNDERGROUND: CHARACTERISTICS OF BEYOND-MAINSTREAM MUSIC LISTENERS. EPJ Data Science, 10-14 https://epjdatascience.springeropen.com/articles/10.1140/epjds/s13688-021-00268-9
Liu, Y., Liu, G., Wei, D., Li, Q., Yuan, G., Wu, S., Wang, G., & Zhao, X. (2018). Effects of musical tempo on musicians’ and non-musicians’ emotional experience when listening to music. Frontiers in Psychology, 9. https://doi.org/10.3389/fpsyg.2018.02118
Lorek, M., Bąk, D., Kwiecień-Jaguś, K., & Mędrzycka-Dąbrowska, W. (2023). The Effect of Music as a Non-Pharmacological Intervention on the Physiological, Psychological, and Social Response of Patients in an Intensive Care Unit. Healthcare 2023, 11, 1687.
https://doi.org/10.3390/healthcare11121687
Meier, M. (2014). Algorithmic composition of music in real-time with soft constraints. https://www.semanticscholar.org/paper/Algorithmic-composition-of-music-in-real-time-with-Meier/36aaea8cbdc9fd7862f89396e2e84f29e9247c71
Nightingale, F. (1946). Notes on nursing: What it is, and what it is not. Appleton-Century.
Nilsson, U. (2008). The Anxiety‐ and Pain‐Reducing Effects of Music Interventions: A Systematic Review. AORN Journal, 87(4), 780–807. https://doi.org/10.1016/j.aorn.2007.09.013
Nuanáin, C. Ó. & Sullivan, L. (2014, October). Real-time Algorithmic Composition with a Tabletop Musical Interface - A First Prototype and Performance. A/M '14: Proceedings of the 9th Audio Mostly: A Conference on Interaction With Sound, No.: 9, Pages 1–7
https://dl.acm.org/doi/10.1145/2636879.2636890
Ogg, M., Sears, D. R. W., & McAdams, M. M. M. a. S. (2017). Psychophysiological Indices of Music-Evoked Emotions in Musicians. Music Perception: An Interdisciplinary Journal, 35(1), 38–59. https://www.jstor.org/stable/26417378
Panksepp, J. (2010). Affective neuroscience of the emotional BrainMind: evolutionary perspectives and implications for understanding depression. Dialogues in Clinical Neuroscience, 12(4), 533–545. https://doi.org/10.31887/dcns.2010.12.4/jpanksepp
Panksepp, J., & Bernatzky, G. (2002). Emotional sounds and the brain: the neuro-affective foundations of musical appreciation. Behavioural Processes, 60(2), 133–155. https://doi.org/10.1016/s0376-6357(02)00080-3
Porcaro, L., Gómez, E., & Castillo, C. (2022, January). DIVERSITY IN THE MUSIC LISTENING EXPERIENCE: INSIGHTS FROM FUTURE GROUP INTERVIEWS. Conference on Human Information Interaction and Retrieval (CHIIR '22). fects of https://arxiv.org/abs/2201.10249#
Putkinen, V., Zhou, X., Gan, X., Yang, L., Becker, B., Sams, M., & Nummenmaa, L. (2024, January). Bodily maps of musical sensations across cultures. Proceedings of the National Academy of Sciences, 121(5). https://doi.org/10.1073/pnas.2308859121
Quinto, L., Thompson, W. F., & Taylor, A. (2013). The contributions of compositional structure and performance expression to the communication of emotion in music. Psychology of Music, 42(4), 503–524. https://doi.org/10.1177/0305735613482023
Rafikian, S. (2019, May). Machine Learning & Algorithmic Music Composition | CCTP-607: “Big Ideas”: AI to the Cloud. https://blogs.commons.georgetown.edu/cctp-607-spring2019/2019/05/06/machine-learning-algorithmic-music-composition/
Raglio, A., Baiardi, P., Vizzari, G., Imbriani, M., Castelli, M., Manzoni, S., Vico, F. J., & Manzoni, L. (2021). Algorithmic Music for Therapy: Effectiveness and Perspectives. Applied Sciences, 11(19), 8833. https://doi.org/10.3390/app11198833
Reybrouck, M., Podlipniak, P., & Welch, D. (2019). Editorial: The influence of loud music on physical and Mental health. Frontiers in Psychology, 10. https://doi.org/10.3389/fpsyg.2019.02149
Salimpoor, V. N., Zald, D. H., Zatorre, R. J., Dagher, A., & McIntosh, A. R. (2015). Predictions and the brain: how musical sounds become rewarding. Trends in Cognitive Sciences, 19(2), 86–91. https://doi.org/10.1016/j.tics.2014.12.001
Särkämö, T., Tervaniemi, M., Laitinen, S., Numminen, A., Kurki, M., Johnson, J. K., & Rantanen, P. (2013). Cognitive, emotional, and social benefits of regular musical activities in early dementia: randomized controlled study. The Gerontologist, 54(4), 634–650. https://doi.org/10.1093/geront/gnt100
Sutoo, D., & Akiyama, K. (2004). Music improves dopaminergic neurotransmission: demonstration based on the effect of music on blood pressure regulation. Brain Research, 1016(2), 255–262. https://doi.org/10.1016/j.brainres.2004.05.018
Thaut, M. H., McIntosh, K. W., McIntosh, G. C., & Hoemberg, V. (2001). Auditory rhythmicity enhances movement and speech motor control in patients with Parkinson's disease. Functional neurology, 16(2), 163–172. https://pubmed.ncbi.nlm.nih.gov/11495422/
Timmerman, H., Van Boekel, R., Van De Linde, L. S., Bronkhorst, E. M., Vissers, K., Van Der Wal, S. E. I., & Steegers, M. (2023). The effect of preferred music versus disliked music on pain thresholds in healthy volunteers. An observational study. PLOS ONE, 18(1), e0280036. https://doi.org/10.1371/journal.pone.0280036
Valevicius, D., Lopez, A., Diushekeeva, A., Lee, A., & Roy, M. (2023). Emotional responses to favorite and relaxing music predict music-induced hypoalgesia. Frontiers in Pain Research, 4. https://doi.org/10.3389/fpain.2023.1210572
White, J. M. (2001). Music as intervention: a notable endeavor to improve patient outcomes. The Nursing clinics of North America, 36(1), 83–92.
Wiafe, A. & Fränti, P. (2023, January.) Affective algorithmic composition of music: A systematic review. Applied Computing and Intelligence 3 (1): 27–43.
https://www.aimspress.com/article/doi/10.3934/aci.2023003
Williams, D., Kirke, A., Miranda, E., Daly, I., Hwang, F., Weaver, J., & Nasuto, S. (2017, May).
Affective Calibration of Musical Featuresets in an Emotionally Intelligent Music Composition System. ACM Transactions on Applied Perception, Volume 14, Issue 3,
Article No.17, pp 1–13. https://dl.acm.org/doi/10.1145/3059005
Williams, D., Kirke, A., Miranda, E. R., Roesch, E. B., Daly, I., & Nasuto, S. J. (2014). Investigating affect in algorithmic composition systems. Psychology of Music, 43(6), 831–854. https://doi.org/10.1177/0305735614543282
Williams, D., Hodge, V. J., & Wu, C-Y. (2020, November). On the use of AI for Generation of Functional Music to Improve Mental Health. Front. Artif. Intell. 3:497864
https://doi.org/10.3389/frai.2020.497864
Witvliet, C. V., & Vrana, S. R. (2007). Play it again Sam: Repeated exposure to emotionally evocative music polarises liking and smiling responses, and influences other affective reports, facial EMG, and heart rate. Cognition & Emotion, 21(1), 3–25. https://doi.org/10.1080/02699930601000672
Woods, K.J., Hewett, A., Spencer, A., Morillon, B., & Loui, P. (2019, July). Modulation in background music influences sustained attention. arXiv: Neurons and Cognition. https://www.semanticscholar.org/paper/Modulation-in-background-music-influences-sustained-Woods-Hewett/8cd6d439f59a7587ab0d5fd901407814a5b00e20
Woods, K. J. P., Sampaio, G., James, T., Przysinda, E., Hewett, A., Spencer, A.E., Morillon, B.,
& Loui, P. (2021, October). Stimulating music supports attention in listeners with attentional difficulties. https://doi.org/10.1101/2021.10.01.462777
Yuksel, B. F., Oleson, K. B., Chang, R., & Jacob, R. J. K. (2019). Detecting and adapting to users’ cognitive and affective state to develop intelligent musical interfaces. Springer series on cultural computing (pp. 163–177) https://doi.org/10.1007/978-3-319-92069-6_11
Zaatar, M. T., Alhakim, K., Enayeh, M., & Tamer, R. (2024). The transformative power of music: Insights into neuroplasticity, health, and disease. Brain, Behavior, & Immunity - Health, 35, 100716. https://doi.org/10.1016/j.bbih.2023.100716
Zatorre, R. (2018, March). From Perception to Pleasure: How Music Changes the Brain [Video].
TED Conferences, TEDxHECMontréal.
https://www.ted.com/talks/dr_robert_zatorre_from_perception_to_pleasure_how_music_changes_the_brain