On Cognition of Musical Grouping: Relationship Between the Listeners’ Schema Type and Their Musical Preference

  • Mitsuyo Hashida
  • Kenzi Noike
  • Noriko Nagata
  • Haruhiro Katayose
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3711)


We assume that there are various musical groupings of perceptions according to the degree of schemata and there are two dominant music grouping schemata; (a) accent-oriented grouping schema and (b) phrasing schema (musical expression referred to as the Rainbow type). In order to verify these hypotheses, we investigated how listeners’ groupings change when the inner voice of Beethoven’s Piano Sonata “Pathetique” was replaced with chords. We eventually succeeded in identifying three listening groups; those who have a strong (a) schema (type A), those whose (a) is prior to (b) (type AF), and those whose (b) is prior to (a) while paying attention to their inner voice (type FA I ). We verified that type A listeners prefer Rap music, Rock music, listening in a lively place, listening to party music, and listening to lyrics, while type FA I listeners prefer Bach, Chopin, and listening alone and quietly.


Preference Level Music Genre Musical Preference Rock Music Musical Expression 
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  1. 1.
    Koffka, K.: Principles of Gestalt Psychology, Harcourt (1967)Google Scholar
  2. 2.
    Ozawa, S., et al.: Lecture notes of Hideo Saito, Hakusuisha (1999) (in Japanese)Google Scholar
  3. 3.
    Hiraga, R., Hashida, M., Hirata, K., Katayose, H., Noike, K.: RENCON: toward a new evaluation method for performance rendering systems. In: Proc. Int. Computer Music Conference, pp. 357–360 (2002)Google Scholar
  4. 4.
    Noike, K., Hashida, M., Katayose, H.: An Examination Tools to obtain Musical Group Boundary — WebMorton. In: IPSJ 2002-MUS-49, pp. 25–29 (2002) (in Japanese)Google Scholar
  5. 5.
    Katayose, H., Hashida, M., Noike, K.: On Perception of Apices and Group Boundaries in Listening Music. In: IPSJ 2003-MUS-52, pp. 95–102 (2003) (in Japanese)Google Scholar
  6. 6.
    Lerdahl, F., Jackendoff, R.: A Generative Theory of Tonal Music. MIT Press, Cambridge (1983)Google Scholar
  7. 7.
    Murao, T.: Recognition of Music Analysis, Music and Recognition, pp. 1–40. University of Tokyo Press (1987) (in Japanese)Google Scholar
  8. 8.
    Aiello, R.: Musical Perceptions. Oxford University Press, Oxford (1994)Google Scholar
  9. 9.
    Hoshina, H.: Approach to lively musical expression, Ongaku-no-tomo-sha Corp. (1998) (in Japanese)Google Scholar
  10. 10.
    Snyder, B.: Music and Memory: An Introduction. MIT Press, Cambridge (2001)Google Scholar
  11. 11.
    Moore, B.C.J.: An Introduction to the Psychology of Hearing. Academic Press, London (2003)Google Scholar
  12. 12.
    Edelman, G.M., Gall, W.E.: Auditory Function, Neurobiological Bases of Hearing. John Wiley & Sons Inc., Chichester (1988)Google Scholar
  13. 13.
    Hamanaka, M., Hirata, K., Tojo, S.: Automatic Generation of Grouping Structure based on the GTTM. In: Proc. Int. Computer Music Conference, pp. 141–144 (2004)Google Scholar
  14. 14.
    Noike, K., Hashida, M., Takeuchi, Y., Katayose, H.: Expansion of GTTM Grouping Rules for Involving Expression Parameters, 2004-MUS-57, pp. 11–16 (2004) (in Japanese)Google Scholar
  15. 15.
    Takeuchi, Y.: Performance Variables for Grouping Structure in two editions of the theme of K. In: Rencon Workshop, Proc. of ICAD, vol. 331 (2002)Google Scholar
  16. 16.
    The New GROVE Dictionary of Music and Musicians, Groves Dictionaries Inc. (1993) Google Scholar
  17. 17.
    Csikszentmihalyi, M.: Beyond Boredom and Anxiety. Jossey-Bass Inc. Pub. (2000)Google Scholar

Copyright information

© IFIP International Federation for Information Processing 2005

Authors and Affiliations

  • Mitsuyo Hashida
    • 1
    • 2
  • Kenzi Noike
    • 2
  • Noriko Nagata
    • 3
  • Haruhiro Katayose
    • 2
    • 3
  1. 1.Graduate School of Systems EngineeringWakayama UniversityWakayamaJapan
  2. 2.PRESTO/Japan Science and Technology AgencyJapan
  3. 3.Department of Science and EngineeringKwansei Gakuin UniversitySanda, HyogoJapan

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