Development of Listenership for Indian Hindustani Music By Using Mimetic Comprehension (original) (raw)

Abstract

How can we train adults in listenership for Indian Hindustani music belonging to a different culture? Can mimetic comprehension of beat patterns using hand gestures and visual feedback improve rhythm perception and recognition ability? Culture influences the processing of music rhythm, but the precise aspects are still unknown. We developed a rhythm training setup to perform a music cognitive study and investigate the effects of visual feedback enforced mimetic comprehension of Hindustani Rhythmic Beat Patterns (also called Talas) on participants with different musical cultural background. The participants were trained in three different Talas: Tintal (16 beats), Ektal (12 beats) and Jhaptal (10 Beats). We investigated whether the participants are able to (1) detect the "Sam", which is the starting beat of every beat cycle by pressing the key "s" on keyboard while listening to the audio excerpt and (2) recognize the Tal in 12 different audio excerpts of Hindustan...

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  1. Mimetic comprehension enhances rhythm perception in Indian Hindustani music training for culturally diverse adults.
  2. Participants trained in Tintal (16 beats), Ektal (12 beats), and Jhaptal (10 beats) demonstrated improved rhythm recognition.
  3. Experimental group scored 85.2% in 'Sam' detection, while control group scored 92.1%, indicating differing training effectiveness.
  4. The study recorded participant engagement levels averaging 9.5/10, highlighting high motivation during training sessions.
  5. Future work should involve larger participant groups to validate findings and improve training methodologies.

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References (36)

  1. Honing, H. (2018). "On the biological basis of musicality." Annals of the New York Academy of Sciences (The Neurosciences and Music VI: Music, Sound and Health). URL https://doi.org/10.1111/nyas.13638.
  2. Fiske, H. E. (2008). Understanding Musical Understanding: The Philosophy, Psychology and Sociology of the Musical Experience. Edwin Mellen Press.
  3. Fabry, R. E. (2017). "Explaining enculturated cognition." Proceedings of the 39th Annual Conference of the Cognitive Science Society. 349-354.
  4. Jakub Matyja and Andrea Schiavio, "Enactive Music Cognition," Constructivist Foundation (2013), vol. 8, no. 3:353.
  5. Morrison, S. J. & Demorest, S. M. (2009). "Cultural constraints on music perception and cognition." Progress in brain research. 178: 67-77. URLchttps://doi.org/10.1016/S0079-6123(09)17805-6.
  6. Daniel J.Cameron, Jocelyn Bentley and Jessica A.Grahn(2015). Cross-cultural influences on rhythm processing: reproduction, discrimination, and beat tapping. URL https://www.frontiersin.org/article/10.3389/fpsyg.2015.00366.
  7. Tillmann, B. (2012). Music and language perception: Expectations, structure integration, and cognitive sequencing. Topics in Cognitive Science, 4, 568-584.
  8. Yates, C. M., Justus, T., Atalay, N. B., Mert, N., & Trehub, S. E. (2017). Effects of musical training and culture on meter perception. Psychology of Music, 45(2), 231-245. URL https://doi.org/10.1177/0305735616657407.
  9. Pearce, M. T. (2018) "Statistical learning and probabilistic prediction in music cognition: mechanisms of stylistic enculturation." Ann. N.Y. Acad. Sci. URL https://doi.org/10.1111/nyas.13654.
  10. Colombetti, G. (2014). The feeling body: Affective science meets the enactive mind. Cambridge MA: MIT Press.
  11. Wilson, A. D., & Golonka, S. (2013). Embodied cognition is not what you think it is. Frontiers in Psychology, 4, 58. DOI: 10.3389/fpsyg.2013.00058.
  12. Phillips-Silver, J., & Keller, P. E. (2012). Searching for roots of entrainment and joint action in early human interactions. Frontiers in Human Neuroscience, Special Research Topic: Brain and Art. DOI: 10.3389/fnhum.2012.00026.
  13. Novembre, G., & Keller P. E. (2011). A grammar of action generates predictions in skilled musicians. Consciousness and Cognition, 20, 1232-1243.
  14. Brown, R. M., & Palmer, C. (2012). Auditory-motor learning influences auditory memory for music. Memory and Cognition, 40, 567-578.
  15. Claudia Lappe, Sibylle C. Herholz, Laurel J. Trainor, Christo Pantev. Cortical Plasticity Induced by Short-Term Unimodal and Multimodal Musical Training. Journal of Neuroscience,2008, 28 (39) 9632-9639; DOI: 10.1523/JNEUROSCI.2254-08.2008.
  16. Cox, A. (2017). Music & Embodied Cognition: Listening, Moving, Feeling, & Thinking. Indiana University Press. URL https://doi.org/10.2307/j.ctt200610s.
  17. Phillips-Silver, J., & Trainor, L. J. (2007). Hearing what the body feels: Auditory encoding of rhythmic movement. Cognition, 105, 533-546. doi:10.1016/j.cognition.2006.11.006.
  18. Wikipedia contributors. (2019, August 1). Tala (music). In Wikipedia, The Free Encyclopedia. Retrieved 10:04, August 14, 2019, from https://en.wikipedia.org/w/index.php?title=Tala\_(music)&oldid=908818596
  19. Sorrell, Neil; Narayan, Ram (1980). Indian Music in Performance: A Practical Introduction. Manchester University Press. ISBN 978-0-7190-0756-9. 40
  20. Gangolli, Ramesh (2007). "Music and Mathematics". Perspectives of New Music. 45 (2 (Summer)): 51-56. JSTOR 2516465.
  21. Wallentin, M., Nielsen, A. H., Friis-Olivarius, M., Vuust, C., & Vuustad, P. (2010). "The Musical Ear Test, a new reliable test for measuring musical competence." Learning and Individual Differences. 20(3): 135-248. URL https://doi.org/10.1016/j.lindif.2010.02.004.
  22. Elliott, D. J., & Silverman, M. (2015). Music Matters: A Philosophy of Music Education. Oxford University Press (second edition).
  23. DeVries, P. (2001). "Reevaluating Common Kodaly Practices." Music Educators Journal. 88 (3): 24-27. URL https://doi.org/10.2307/3399754.
  24. Bigand, E. & Poulin-Charronnat, B. (2006). "Are we "experienced listeners"? A review of the musical capacities that do not depend on formal musical training." Cognition. 100(1):100-30.URL https://doi.org/10.1016/j.cognition.2005.11.007.
  25. Mamlok, D. (2017). "Active Listening, Music Education, and Society." Oxford Research Encyclopedia, Education. URL https://doi.org/10.1093/acrefore/9780190264093.013.186.
  26. Goldstone, R. L., Rogosky, B. J., Pevtzow, R., & Blair, M. (2017). " The Construction of Perceptual and Semantic Features During Category Learning." Handbook of Categorization in Cognitive Science (Second Edition), H. Cohen & C. Lefebvre (ed.). p. 851-882. Elsevier. https://doi.org/10.1016/B978-0-08- 101107-2.00034-8.
  27. Eggebrecht, H (2010). Understanding Music: The Nature and Limits of Musical Cognition. Ashgate Publishing, Ltd.
  28. Modular PROMS Test online available at URL https://www.uibk.ac.at/psychologie/fachbereiche/pdd/personality\_assessment/pr oms/take-the-test/modular-proms/.
  29. Form for collecting user information available online at URL https://docs.google.com/forms/d/e/1FAIpQLSfKdLpqiQY\_7vi2DiQXIlXlY7635 dqN2hS2lSIXg1mLP7Gx9A/viewform?usp=sf_link.
  30. Hindustani Music introductional video available online at URL https://www.kadenze.com/courses/north-indian-classical-music-i-fundamental- elements/info.
  31. Dunya website URL https://dunya.compmusic.upf.edu/.
  32. Screen recording software URL https://en.wikipedia.org/wiki/QuickTime.
  33. Video Editing software URL https://en.wikipedia.org/wiki/Final\_Cut\_Pro.
  34. Saraga Dataset available online at URL :https://zenodo.org/record/1256127#.XQF1n9MzZE5.
  35. Tool for "Sam" detection available online at URL https://dunya.upf.edu/hindustani-tools/en/talPractice.html.
  36. Beat recognition test created on Google forms available online at: URL https://docs.google.com/forms/d/e/1FAIpQLScdNzs\_YpCIP3hRhFFY6nMG4W 1wqh0i531NaJfNuc0dzMqYSA/viewform?usp=sf_link.