Western listeners detect boundary hierarchy in Indian music: a segmentation study

Popescu, Tudor; Widdess, Richard; Rohrmeier, Martin

Abstract

How are listeners able to follow and enjoy complex pieces of music? Several theoretical frameworks suggest links between the process of listening and the formal structure of music, involving a division of the musical surface into structural units at multiple hierarchical levels. Whether boundaries between structural units are perceivable to listeners unfamiliar with the style, and are identified congruently between naïve listeners and experts, remains unclear. Here, we focused on the case of Indian music, and asked 65 Western listeners (of mixed levels of musical training; most unfamiliar with Indian music) to intuitively segment into phrases a recording of sitar ālāp of two different rāga-modes. Each recording was also segmented by two experts, who identified boundary regions at section and phrase levels. Participant- and region-wise scores were computed on the basis of "clicks" inside or outside boundary regions (hits/false alarms), inserted earlier or later within those regions (high/low "promptness"). We found substantial agreement—expressed as hit rates and click densities—among participants, and between participants’ and experts’ segmentations. The agreement and promptness scores differed between participants, levels, and recordings. We found no effect of musical training, but detected real-time awareness of grouping completion and boundary hierarchy. The findings may potentially be explained by underlying general bottom-up processes, implicit learning of structural relationships, cross-cultural musical similarities, or universal cognitive capacities

Citation

Popescu, T., Widdess, R., & Rohrmeier, M. (2021). Western listeners detect boundary hierarchy in Indian music: a segmentation study. Scientific Reports, 11, Article 3112. https://doi.org/10.1038/s41598-021-82629-y

• Journal Article Type: Article
• Acceptance Date: Jan 4, 2021
• Publication Date: Feb 4, 2021
• Deposit Date: Jan 6, 2021
• Publicly Available Date: Jan 6, 2021
• Journal: Scientific Reports
• Electronic ISSN: 2045-2322
• Publisher: Nature Research
• Peer Reviewed: Peer Reviewed
• Volume: 11
• Article Number: 3112
• DOI: https://doi.org/10.1038/s41598-021-82629-y
• Keywords: music segmentation, grouping perception, hierarchy, cultural familiarity, analysis of world music, Indian music, musical training
• Additional Information: References : 1. Hartmann, M., Lartillot, O. & Toiviainen, P. Interaction features for prediction of perceptual segmentation: Effects of musicianship and experimental task. J. New Music Res. 46, 156–174 (2017). 2. Popescu, T. & Fitch, W. T. Dynamic hierarchical cognition: Music and language demand further types of abstracta. Behav. Brain Sci. 43, 42–43 (2020). 3. Rohrmeier, M., Zuidema, W., Wiggins, G. A. & Scharff, C. Principles of structure building in music, language and animal song. Philos. Trans. R. Soc. B Biol. Sci. 370, 20140097 (2015). 4. Pearce, M. & Rohrmeier, M. Musical Syntax II: Empirical Perspectives. in Springer Handbook of Systematic Musicology 487–505 (Springer, Berlin, Heidelberg, 2018). doi:10.1007/978-3-662-55004-5_26. 5. Rohrmeier, M. & Pearce, M. Musical Syntax I: Theoretical Perspectives. in Springer Handbook of Systematic Musicology 473–486 (Springer, Berlin, Heidelberg, 2018). doi:10.1007/978-3-662-55004-5_25. 6. Lerdahl, F. & Jackendoff, R. A generative theory of tonal music. (MIT press, 1983). 7. Krumhansl, C. L. A Perceptual Analysis of Mozart’s Piano Sonata K. 282: Segmentation, Tension, and Musical Ideas. Music Percept. Interdiscip. J. 13, 401–432 (1996). 8. Clarke, E. F. & Krumhansl, C. L. Perceiving musical time. Music Percept. Interdiscip. J. 7, 213–251 (1990). 9. Silva, S., Dias, C. & Castro, S. L. Domain-Specific Expectations in Music Segmentation. Brain Sci. 9, 169 (2019). 10. Zhang, J., Jiang, C., Zhou, L. & Yang, Y. Perception of hierarchical boundaries in music and its modulation by expertise. Neuropsychologia 91, 490–498 (2016). 11. Jacoby, N. et al. Cross-Cultural Work in Music Cognition: Challenges, Insights, and Recommendations. Music Percept. Interdiscip. J. 37, 185–195 (2020). 12. Fitch, W. T. & Popescu, T. The world in a song. Science 366, 944–945 (2019). 13. Nettl, B. An ethnomusicologist contemplates universals in musical sound and musical culture. in The Origins of Music, edited by N. L. Wallin, B. Merker, and S. Brown 463–472 (MIT Press, 2000). 14. Savage, P. E., Brown, S., Sakai, E. & Currie, T. E. Statistical universals reveal the structures and functions of human music. Proc. Natl. Acad. Sci. 201414495 (2015) doi:10.1073/pnas.1414495112. 15. Mehr, S. A. et al. Universality and diversity in human song. Science (2019) doi:10.31234/osf.io/emq8r. 16. Wallin, N. L., Merker, B. & Brown, S. The origins of music. (MIT press, 2001). 17. Popescu, T., Oesch, N. & Buck, B. Musical features emerging from a biocultural musicality. Behav. Brain Sci. (2021). 18. Ayari, M. & McAdams, S. Aural Analysis of Arabic Improvised Instrumental Music (Taqsīīm). Music Percept. Interdiscip. J. 21, 159–216 (2003). 19. Lartillot, O. & Ayari, M. Cultural impact in listeners’ structural understanding of a Tunisian traditional modal improvisation, studied with the help of computational models. J. Interdiscip. Music Stud. 5, (2011). 20. Nan, Y., Knösche, T. R. & Friederici, A. D. The perception of musical phrase structure: A cross-cultural ERP study. Brain Res. 1094, 179–191 (2006). 21. Nan, Y., Knösche, T. R. & Friederici, A. D. Non-musicians’ perception of phrase boundaries in music: A cross-cultural ERP study. Biol. Psychol. 82, 70–81 (2009). 22. Nan, Y., Knösche, T. R., Zysset, S. & Friederici, A. D. Cross-cultural music phrase processing: An fMRI study. Hum. Brain Mapp. 29, 312–328 (2008). 23. Mungan, E., Yazıcı, Z. F. & Kaya, M. U. Perceiving Boundaries in Unfamiliar Turkish Makam Music. Music Percept. Interdiscip. J. 34, 267–290 (2017). 24. Balkwill, L.-L. & Thompson, W. F. A cross-cultural investigation of the perception of emotion in music: Psychophysical and cultural cues. Music Percept. 17, 43–64 (1999). 25. Kivy, P. Sound sentiment: An essay on the musical emotions, including the complete text of the corded shell. (Temple University Press, 1989). 26. Deliège, I., Mélen, M., Stammers, D. & Cross, I. Musical schemata in real-time listening to a piece of music. Music Percept. Interdiscip. J. 14, 117–159 (1996). 27. Glushko, A., Steinhauer, K., DePriest, J. & Koelsch, S. Neurophysiological Correlates of Musical and Prosodic Phrasing: Shared Processing Mechanisms and Effects of Musical Expertise. PLOS ONE 11, e0155300 (2016). 28. Hartmann, M., Lartillot, O. & Toiviainen, P. Multi-scale Modelling of Segmentation. Music Percept. Interdiscip. J. 34, 192–217 (2016). 29. Lartillot, O. & Ayari, M. Segmentation of Tunisian Modal Improvisation: Comparing Listeners’ Responses with Computational Predictions. J. New Music Res. 38, 117–127 (2009). 30. Rohrmeier, M. & Widdess, R. Incidental Learning of Melodic Structure of North Indian Music. Cogn. Sci. 41, 1299–1327 (2016). 31. Bor, J. The rāga guide: A survey of 74 Hindustani rāgas. (Wyastone Leys, Monmouth: Nimbus, 1999). 32. Jairazbhoy, N. A. The rāgas of North Indian music: their structure and evolution. (Faber, 1971). 33. Powers, H. S. An historical and comparative approach to the classification of rāgas. Sel. Rep. Ethnomusicol. 1, 2–78 (1970). 34. Widdess, R. Aspects of form in North Indian ālāp and dhrupad. in Music and tradition: essays on Asian and other musics presented to Laurence Picken 143–182 (1981). 35. Widdess, R. Involving the Performers in Transcription and Analysis: A Collaborative Approach to Dhrupad. Ethnomusicology 38, 59–79 (1994). 36. Macmillan, N. A. & Creelman, C. D. Detection Theory: A User’s Guide. (Psychology Press, 2004). 37. Green, D. M. & Swets, J. A. Signal detection theory and psychophysics. vol. 1 (Wiley, 1966). 38. Deliège, I. Grouping conditions in listening to music: An approach to Lerdahl & Jackendoff’s grouping preference rules. Music Percept. Interdiscip. J. 4, 325–359 (1987). 39. Pearce, M. T., Müllensiefen, D. & Wiggins, G. A. The role of expectation and probabilistic learning in auditory boundary perception: A model comparison. Perception 39, 1367–1391 (2010). 40. Swain, J. P. The Need for Limits in Hierarchical Theories of Music. Music Percept. Interdiscip. J. 4, 121–147 (1986). 41. Susino, M. & Schubert, E. Cultural stereotyping of emotional responses to music genre. Psychol. Music 47, 342–357 (2019). 42. Yarkoni, T. The Generalizability Crisis. PsyArXiv (2019) doi:10.31234/osf.io/jqw35. 43. McPherson, M. J. et al. Perceptual fusion of musical notes suggests universal representations of dissonance despite culture-dependent aesthetic associations. J. Acoust. Soc. Am. 145, 1784–1784 (2019). 44. McPherson, M. J. et al. Perceptual fusion of musical notes by native Amazonians suggests universal representations of musical intervals. Nat. Commun. 11, 2786 (2020). 45. Pressnitzer, D. & Demany, L. Auditory Perception: Relative Universals for Musical Pitch. Curr. Biol. 29, R927–R929 (2019). 46. Jacoby, N. et al. Universal and Non-universal Features of Musical Pitch Perception Revealed by Singing. Curr. Biol. 29, 3229-3243.e12 (2019). 47. Jacoby, N. & McDermott, J. H. Integer Ratio Priors on Musical Rhythm Revealed Cross-culturally by Iterated Reproduction. Curr. Biol. (2016) doi:10.1016/j.cub.2016.12.031. 48. Sievers, B., Polansky, L., Casey, M. & Wheatley, T. Music and movement share a dynamic structure that supports universal expressions of emotion. Proc. Natl. Acad. Sci. 110, 70–75 (2013). 49. Cowen, A. S., Fang, X., Sauter, D. & Keltner, D. What music makes us feel: At least 13 dimensions organize subjective experiences associated with music across different cultures. Proc. Natl. Acad. Sci. 117, 1924–1934 (2020). 50. Bigand, E. & Poulin-Charronnat, B. Are we “experienced listeners”? A review of the musical capacities that do not depend on formal musical training. Cognition 100, 100–130 (2006). 51. Rohrmeier, M. & Rebuschat, P. Implicit Learning and Acquisition of Music. Top. Cogn. Sci. 4, 525–553 (2012). 52. Tillmann, B. Implicit Investigations of Tonal Knowledge in Nonmusician Listeners. Ann. N. Y. Acad. Sci. 100–110 (2005). 53. Rohrmeier, M. Towards a formalisation of musical rhythm. in Proc. of the 21st Int. Society for Music Information Retrieval Conf. (2020). 54. Rohrmeier, M., Rebuschat, P. & Cross, I. Incidental and online learning of melodic structure. Conscious. Cogn. 20, 214–222 (2011). 55. Rohrmeier, M. A. & Cross, I. Modelling unsupervised online-learning of artificial grammars: Linking implicit and statistical learning. Conscious. Cogn. 27, 155–167 (2014). 56. Narmour, E. The analysis and cognition of basic melodic structures: The implication-realization model. (University of Chicago Press, 1990). 57. Narmour, E. The Analysis and Cognition of Melodic Complexity: The Implication-Realization Model. (University of Chicago Press, 1992).