Donald School Journal of Ultrasound in Obstetrics and Gynecology

Register      Login

VOLUME 16 , ISSUE 3 ( July-September, 2022 ) > List of Articles

REVIEW ARTICLE

Music, Ultrasound, and Artificial Intelligence: Recent Advances and Future Challenges

Helena Dukić

Keywords : 4D ultrasound, Artificial intelligence, Fetal emotions, Fetal hearing, Music

Citation Information : Dukić H. Music, Ultrasound, and Artificial Intelligence: Recent Advances and Future Challenges. Donald School J Ultrasound Obstet Gynecol 2022; 16 (3):187-191.

DOI: 10.5005/jp-journals-10009-1933

License: CC BY-NC 4.0

Published Online: 18-10-2022

Copyright Statement:  Copyright © 2022; The Author(s).


Abstract

Our emotional connection to music is apparent in all living societies and cultures and has as such sparked intrigue regarding its purpose and origin. In recent years, there have been attempts to model and explain our emotional reactions to music. The issue has been approached in two different ways: (1) From a perspective of our prenatal development and early sound perception experiences and (2) From the perspective of artificial intelligence development, recreating the way humans would react to a certain piece of music. Both of these approaches are presented in this paper, along with the possible similarities between the two, as well as the assumed further developments.


PDF Share
  1. Parncutt R, Chuckrow R. Chuckrow's theory of the prenatal origin of music. Musicae Scientiae 2019;23(4):403–425. DOI: 10.1177/1029864917738130
  2. Parncutt R. Prenatal and infant conditioning, the mother schema, and the origins of music and religion. Musicae Scientiae 2009;13(2_suppl):119–150. DOI: 10.1177/1029864909 013002071
  3. Mastropieri D, Turkewitz G. Prenatal experience and neonatal responsiveness to vocal expressions of emotion. Dev Psychobiol 1999;35(3):204–214. DOI: 10.1002/(sici)1098-2302(199911)35:3<204::aid-dev5>3.0.co;2-v
  4. Teie D. A comparative analysis of the universal elements of music and the fetal environment. Frontiers in psychology 2016;7:1158. DOI: 10.3389/fpsyg.2016.01158
  5. Kim H, Lee MH, Chang HK, et al. Influence of prenatal noise and music on the spatial memory and neurogenesis in the hippocampus of developing rats. Brain Dev 2006;28(2):109–114. DOI: 10.1016/j.braindev.2005.05.008
  6. Van Puyvelde M, Neyt X, McGlone F, et al. Voice stress analysis: a new framework for voice and effort in human performance. Front Psychol 2018;9:1994. DOI: 10.3389/fpsyg.2018.01994
  7. Kadić AS, Kurjak A. Cognitive functions of the fetus. Ultraschall Med 2018;39(2):181–189. DOI: 10.1055/s-0043-123469
  8. Kurjak A, Antsaklis P, Stanojevic M, et al. Multicentric studies of the fetal neurobehavior by KANET test. J Perinat Med 2017;45(6):717–727. DOI: 10.1515/jpm-2016-0409
  9. Reissland N, Francis B, Mason J, et al. Do facial expressions develop before birth? PLoS One 2011;6(8):e24081. DOI: 10.1371/journal.pone.0024081
  10. Merz E, Pashaj S. Fetal facial expressions: demonstration of the smiling, the sad and the scowling fetus with 4D-Ultrasound. Ultraschall Med 2015;36(1):1–2. DOI: 10.1055/s-0034-1369546
  11. Joseph R. Fetal brain behavior and cognitive development. Developmental review 2000;20(1):81–98. DOI: 10.1006/drev.1999.0486
  12. Delafield-Butt JT, Trevarthen C. 11 theories of the development of human communication. Theories and models of communication. 2013 Jan:199.
  13. Humphrey T. The development of the human amygdala during early embryonic life. J Comp Neurol 1968;132(1):135–165. DOI: 10.1002/cne.901320108
  14. Hata T, Hanaoka U, Tenkumo C, et al. Three- and four-dimensional HDlive rendering images of normal and abnormal fetuses: pictorial essay. Arch Gynecol Obstet 2012;286(6):1431–1435. DOI: 10.1007/s00404-012-2505-1
  15. Trevarthen C, Delafield-Butt JT. Autism as a developmental disorder in intentional movement and affective engagement. Front Integrative neuroscience 2013;7:49. DOI: 10.3389/fnint.2013.00049
  16. Araki M, Nishitani S, Ushimaru K, et al. Fetal response to induced maternal emotions. J Physiol Sci 2010;60(3):213–220. DOI: 10.1007/s12576-010-0087-x
  17. DiPietro JA, Costigan KA, Gurewitsch ED. Fetal response to induced maternal stress. Early Hum Dev 2003;74(2):125–138. DOI: 10.1016/j.earlhumdev.2003.07.001
  18. DiPietro JA, Costigan KA, Nelson P, et al. Fetal responses to induced maternal relaxation during pregnancy. Biol Psychol 2008;77(1):11–19. DOI: 10.1016/j.biopsycho.2007.08.008
  19. book. Luger GF. Artificial intelligence: structures and strategies for complex problem solving. Pearson education; 2005/book
  20. Miranda ER. (Ed.). Readings in music and artificial intelligence. Routledge; 2013.
  21. McCarthy J, Minsky ML, Rochester N, et al. A proposal for the dartmouth summer research project on artificial intelligence, august 31, 1955. AI magazine 2006;27(4):12. DOI: 10.1609/aimag.v27i4.1904
  22. Lerdahl F, Jackendoff R. A generative theory of tonal music. Cambridge, MA; MIT Press; 1983.
  23. Chomsky N. Syntactic Structures, The Hague/Paris: Mouton, 1957, ISBN 978-3-11-021832-9.
  24. Stern DN. The ‘pre-narrative envelope’: an alternative view of ‘unconscious phantasy’ in infancy. Bull Anna Freud Centre 1992;15(4):291–318.
  25. Stern DN. The first relationship. Harvard University Press; 2002.
  26. Narmour E. The analysis and cognition of melodic complexity: The implication-realization model. University of Chicago Press; 1992./book
  27. Balaban M, Ebcioğlu K, Laske O, editors. Understanding music with AI: perspectives on music cognition. MIT Press; 1992 Aug 17.
  28. Yang YH, Chen HH. Music emotion recognition. CRC Press; 2011 Feb 22.ž
  29. Chowdhury S, Praher V, Widmer G. Tracing back music emotion predictions to sound sources and intuitive perceptual qualities. arXiv preprint arXiv:2106.07787. 2021 Jun 14. DOI: 10.48550/arXiv.2106.07787
PDF Share
PDF Share

© Jaypee Brothers Medical Publishers (P) LTD.