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Music Cognition: Learning, Perception, Expectations

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Computer Music Modeling and Retrieval. Sense of Sounds (CMMR 2007)

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Abstract

Research in music cognition domain has shown that non musician listeners have implicit knowledge about the Western tonal musical system. This knowledge, acquired by mere exposure to music in everyday life, influences perception of musical structures and allows developing expectations for future incoming events. Musical expectations play a role for musical expressivity and influence event processing: Expected events are processed faster and more accurately than less-expected events and this influence extends to the processing of simultaneously presented visual information. Studying implicit learning of auditory material in the laboratory allows us to further understand this cognitive capacity (i.e., at the origin of tonal acculturation) and its potential application to the learning of new musical systems and new musical expectations. In addition to behavioral studies on cognitive processes in and around music perception, computational models allow simulating learning, representation and perception of music for non musician listeners.

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References

  1. Palmer, C.: Sequence memory in music performance. Current Directions in Psychological Science 14, 247–250 (2005)

    Article  Google Scholar 

  2. Repp, B.H.: Sensorimotor synchronization: A review of the tapping literature. Psychonomic Bulletin & Review 12, 969–992 (2005)

    Google Scholar 

  3. Stevens, C., Byron, T.: Universals in music processing. In: Hallmam, C.T. (ed.) Oxford Handbook of Music Psychology. Oxford (2008)

    Google Scholar 

  4. Dowling, W.J., Harwood, D.L.: Music Cognition. Academic Press, Orlando (1986)

    Google Scholar 

  5. Francès, R.: La perception de la musique, 2nd edn. Vrin, Paris (1958)

    Google Scholar 

  6. Krumhansl, C.L.: Cognitive foundations of musical pitch. Oxford University Press, New York (1990)

    Google Scholar 

  7. Krumhansl, C.L.: The psychological representation of musical pitch in a tonal context. Cognitive Psychology 11(3), 346–374 (1979)

    Article  Google Scholar 

  8. Bharucha, J.J.: Anchoring effects in music: The resolution of dissonance. Cognitive Psychology 16(4), 485–518 (1984)

    Article  Google Scholar 

  9. Budge, H.: A study of chord frequencies. Teacher College (1943)

    Google Scholar 

  10. Bigand, E., Poulin-Charronnat, B.: Are we all experienced listeners? Cognition 100, 100–130 (2006)

    Article  Google Scholar 

  11. Tillmann, B., Bharucha, J.J., Bigand, E.: Implicit learning of tonality: a self-organizing approach. Psychol Rev. 107(4), 885–913 (2000)

    Article  Google Scholar 

  12. Hébert, S., Peretz, I., Gagnon, L.: Perceiving the tonal ending of tune excerpts: The roles of pre-existing representation and musical expertise. Canadian Journal of Experimental Psychology 49, 193–209 (1995)

    Article  Google Scholar 

  13. Bartlett, J.C., Dowling, W.J.: Recognition of transposed melodies: a key-distance effect in developmental perspective. J. Exp. Psychol. Hum. Percept. Perform 6(3), 501–515 (1980)

    Article  Google Scholar 

  14. Cuddy, L.L., Thompson, W.F.: Perceived key movement in four-voice harmony and single voices. Music Perception 9, 427–438 (1992)

    Google Scholar 

  15. Bigand, E.: Perceiving musical stability: the effect of tonal structure, rhythm, and musical expertise. J. Exp. Psychol. Hum. Percept. Perform 23(3), 808–822 (1997)

    Article  Google Scholar 

  16. Bharucha, J.J., Krumhansl, C.L.: The representation of harmonic structure in music: hierarchies of stability as a function of context. Cognition 13(1), 63–102 (1983)

    Article  Google Scholar 

  17. Dowling, W.J.: Scale and contour: Two components of a theory of memory for melodies. Psychological Review 85(4), 341–354 (1978)

    Article  Google Scholar 

  18. Tillmann, B., Bigand, E., Madurell, F.: Local versus global processing of harmonic cadences in the solution of musical puzzles. Psychological Research/Psychologische For-schung 61(3), 157–174 (1998)

    Article  Google Scholar 

  19. Meyer, L.B.: Emotion and Meaning in Music. University of Chicago Press, Chicago (1956)

    Google Scholar 

  20. Carlsen, C.: Musical expectancy: Some perspectives. Council for Research in Music Education 71, 4–14 (1982)

    Google Scholar 

  21. Carlsen, C.: Some factors which influence melodic expectancy. Psychomusicology 1(1), 12–29 (1981)

    Google Scholar 

  22. Schmuckler, M.A.: The performance of global expectations. Psychomusicology 9, 122–147 (1990)

    Google Scholar 

  23. Schmuckler, M.A.: Expectation in music: Investigation of melodic and harmonic processes. Music Perception 7, 109–150 (1989)

    Google Scholar 

  24. Schmuckler, M.A., Boltz, M.G.: Harmonic and rhythmic influences on musical expectancy. Percept Psychophys 56(3), 313–325 (1994)

    Google Scholar 

  25. Neely, J.H.: Semantic priming effects in visual word recognition: A selective review of current findings and theories. In: Besner, D., Humphreys, G.W. (eds.) Basic processes in reading: Visual word recognition, pp. 264–336. Lawrence Erlbaum, Mahwah (1991)

    Google Scholar 

  26. Tillmann, B.: Implicit investigations of tonal knowledge in nonmusician listeners. Annals of the New York Academy of Sciences 1060, 100–110 (2005)

    Article  Google Scholar 

  27. Bharucha, J.J., Stoeckig, K.: Reaction time and musical expectancy: priming of chords. J. Exp. Psychol. Hum. Percept. Perform 12(4), 403–410 (1986)

    Article  Google Scholar 

  28. Bigand, E., Pineau, M.: Global context effects on musical expectancy. Percept Psycho-phys 59(7), 1098–1107 (1997)

    Google Scholar 

  29. Tillmann, B., Bharucha, J.J.: Effect of harmonic relatedness on the detection of temporal asynchronies. Perception & Psychophysics 64(4), 640–649 (2002)

    Google Scholar 

  30. Bigand, E., et al.: The effect of harmonic context on phoneme monitoring in vocal music. Cognition 8(1), B11–B20 (2001)

    Article  Google Scholar 

  31. Tillmann, B., et al.: Influence of harmonic context on musical timbre processing. European Journal of Cognitive Psychology 18, 343–358 (2005)

    Article  Google Scholar 

  32. Poulin-Charronnat, B., et al.: Musical structure modulates semantic priming in vocal music. Cognition 94, B67–B78 (2005)

    Article  Google Scholar 

  33. Tillmann, B., Bigand, E., Pineau, M.: Effects of global and local contexts on harmonic expectancy. Music Perception 16(1), 99–117 (1998)

    Google Scholar 

  34. Bigand, E., et al.: Effect of global structure and temporal organization on chord processing. Journal of Experimental Psychology: Human Perception and Performance 25(1), 184–197 (1999)

    Article  Google Scholar 

  35. Bigand, E., et al.: Cognitive versus sensory components in harmonic priming effects. Journal of Experimental Psychology: Human Perception and Performance 29(1), 159–171 (2003)

    Article  Google Scholar 

  36. Tillmann, B., et al.: Tonal centers and expectancy: facilitation or inhibition of chords at the top of the harmonic hierarchy? Journal of Experimental Psychology: Human Perception & Performance (in press)

    Google Scholar 

  37. Marmel, F., Tillmann, B., Dowling, W.J.: Tonal expectations influence pitch perception (manuscript submitted for publication, 2007)

    Google Scholar 

  38. McAdams, S.: Contraintes psychologiques sur les dimensions porteuses de formes en musique. In: McAdams, S., Deliege, I. (eds.) La musique et les sciences cognitives, pp. 257–284. Bruxelles, Mardaga (1989)

    Google Scholar 

  39. Boltz, M.G.: The generation of temporal and melodic expectancies during musical listening. Perception & Psychophysics 53, 585–600 (1993)

    Google Scholar 

  40. Tillmann, B., Lebrun-Guillaud, G.: Influence of tonal and temporal expectations on chord processing and on completion judgments of chord sequences. Psychological Research 70, 345–358 (2006)

    Article  Google Scholar 

  41. Peretz, I., Kolinsky, R.: Boundaries of separability between melody and rhythm in music discrimination: A neuropsychological perspective. Quarterly Journal of Experimental Psychology 46A, 301–327 (1993)

    Google Scholar 

  42. Boltz, M.G.: Some structural determinants of melody recall. Mem Cognit 19(3), 239–251 (1991)

    Google Scholar 

  43. Boltz, M.G.: Perceiving the end: Effects of tonal relationships on melodic completion. Journal of Experimental Psychology: Human Perception and Performance 15, 749–761 (1989)

    Article  Google Scholar 

  44. Palmer, C., Krumhansl, C.L.: Independent temporal and pitch structures in determination of musical phrases. J. Exp. Psychol. Hum. Percept. Perform 13(1), 116–126 (1987)

    Article  Google Scholar 

  45. Bigand, E.: The influence of implicit harmony, rhythm and musical training on the abstraction of ”tension-relaxation schemes” in a tonal musical phrase. Contemporary Music Review 9, 128–139 (1993)

    Article  Google Scholar 

  46. Jones, M.R., Boltz, M.: Dynamic attending and responses to time. Psychological Review 96, 459–491 (1989)

    Article  Google Scholar 

  47. Dowling, W.J., Lung, K.M., Herrbold, S.: Aiming attention in pitch and time in the perception of interleaved melodies. Percept Psychophys 41(6), 642–656 (1987)

    Google Scholar 

  48. Lerdahl, F., Jackendoff, R.: A generative Theory of Tonal Music, vol. 368. The MIT press, Cambridge (1983)

    Google Scholar 

  49. Peretz, I., Morais, J.: La musique et la modularité. In: McAdams, S., Deliege, I. (eds.) La musique et les sciences cognitives, pp. 393–414. Bruxelles, P. Mardaga (1989)

    Google Scholar 

  50. Pfordresher, P.Q.: The role of melodic and rhythmic accents in musical structure. Music Perception 20(4), 431–464 (2003)

    Article  Google Scholar 

  51. Hoch, L., Tillmann, B.: Effect of tonal relatedness on spoken syllable identification to the contralateral ear (manuscript in preparation)

    Google Scholar 

  52. Escoffier, N., Tillmann, B.: The tonal function of a task-irrelevant chord modulates speed of visual processing. Cognition (in press)

    Google Scholar 

  53. Jones, M.R.: Dynamic pattern structures in music: Recent theory and research. Perception and Psychophysics 41, 621–634 (1987)

    Google Scholar 

  54. Meyer, L.B.: On rehearing music. In: Meyer, L.B. (ed.) Music, the arts and ideas, pp. 42–53. Chicago University Press, Chicago (1967)

    Google Scholar 

  55. Jackendoff, R.: Musical parsing and musical affect. Music Perception 9, 199–230 (1991)

    Google Scholar 

  56. Justus, T.C., Bharucha, J.J.: Modularity in musical processing: the automaticity of harmonic priming. J. Exp. Psychol. Hum. Percept. Perform 27(4), 1000–1011 (2001)

    Article  Google Scholar 

  57. Tillmann, B., Bigand, E.: Musical priming: Schematic expectations resist repetition priming. In: 8th International Conference of Music Perception and Cognition. Evanston, Chicago (2004)

    Google Scholar 

  58. Faita, F., Besson, M.: Electrophysiological index of musical expectancy: Is there a repetition effect on the event-related potentials associated with musical incongruities? In: Third International Conference for Music Perception and Cognition, ESCOM, Liege (1994)

    Google Scholar 

  59. Lerdahl, F.: Two ways which music relates the world. Music theory spectrum 25, 367–373 (2003)

    Article  Google Scholar 

  60. Shepard, R.N.: Geometrical approximations to the structure of musical pitch. Psychol. Rev. 89(4), 305–333 (1982)

    Article  Google Scholar 

  61. Krumhansl, C.L., Kessler, E.J.: Tracing the dynamic changes in perceived tonal organization in a spatial representation of musical keys. Psychol. Rev. 89(4), 334–368 (1982)

    Article  Google Scholar 

  62. Lerdahl, F.: Tonal pitch space. Music Perception 5(3), 315–349 (1988)

    Google Scholar 

  63. Lerdahl, F.: Pitch-space journeys in two Chopin Preludes. In: Jones, M.R., Holleran, S. (eds.) Cognitive bases of musical communication, APA, pp. 171–191 (1991)

    Google Scholar 

  64. Bharucha, J.J.: Music cognition and perceptual facilitation: A connectionist framework. Music Perception 5(1), 1–30 (1987)

    Google Scholar 

  65. McClelland, J.L., Rumelhart, D.E.: An interactive activation model of context effects in letter perception: Part 1. An account of basic findings. Psychological Review 86, 287–330 (1981)

    Google Scholar 

  66. Seidenberg, M.S., McClelland, J.L.: A distributed, developmental model of word recognition and naming. Psychological Review 96, 523–568 (1989)

    Article  Google Scholar 

  67. Grossberg, S.: Some networks that can learn, remember and reproduce any number of complicated space-time patterns. Studies in Applied Mathematics 49, 135–166 (1970)

    MATH  MathSciNet  Google Scholar 

  68. Kohonen, T.: Self-Organizing Maps. Springer, Heidelberg (1995)

    Google Scholar 

  69. Rumelhart, D.E., Zipser, D.: Feature discovery by competitive learning. Cognitive Science 9, 75–112 (1985)

    Article  Google Scholar 

  70. von der Malsberg, C.: Self-organizing of orientation sensitive cells in the striate cortex. Kybernetic 14, 85–100 (1973)

    Article  Google Scholar 

  71. Parncutt, R.: Harmony: A psychoacoustical approach. Springer, Heidelberg (1989)

    Google Scholar 

  72. Krumhansl, C.L., Bharucha, J.J., Kessler, E.J.: Perceived harmonic structures of chords in three related keys. Journal of Experimental Psychology: Human Perception and Performance 8, 24–36 (1982)

    Article  Google Scholar 

  73. Patel, A.D., et al.: Processing syntactic relations in language and music: an event-related potential study. J. Cogn. Neurosci. 10(6), 717–733 (1998)

    Article  Google Scholar 

  74. Tekman, H.G., Bharucha, J.J.: Implicit knowledge versus psychoacoustic similarity in priming of chords. Journal of Experimental Psychology: Human Perception and Performance 24(1), 252–260 (1998)

    Article  Google Scholar 

  75. Seger, C.A.: Implicit learning. Psychological Bulletin 115, 163–169 (1994)

    Article  Google Scholar 

  76. Altmann, G.T.M., Dienes, Z., Goode, A.: Modality independence of implicitly learned grammatical knowledge. Journal of Experimental Psychology: Learning, Memory, and Cognition 21(4), 899–912 (1995)

    Article  Google Scholar 

  77. Reber, A.S.: Implicit learning of artificial grammars. Journal of Verbal Learning and Verbal Behavior 6, 855–863 (1967)

    Article  Google Scholar 

  78. Reber, A.S.: Implicit learning and tacit knowledge. Journal of Experimental Psychology: General 118, 219–235 (1989)

    Article  Google Scholar 

  79. Saffran, J.R., Newport, E.L., Aslin, R.N.: Word segmentation: The role of distributional cues. Journal of Memory and Language 35(4), 606–621 (1996)

    Article  Google Scholar 

  80. Thiessen, E.D., Saffran, J.R.: When cues collide: use of stress and statistical cues to word boundaries by 7- to 9-month-old infants. Developmental Psychology 39(4), 706–716 (2003)

    Article  Google Scholar 

  81. Johnson, E.K., Jusczyk, P.W.: Word segmentation by 8-month-olds: When speech cues count more than statistics. Journal of Memory and Language 44(4), 548–567 (2001)

    Article  Google Scholar 

  82. Tillmann, B., McAdams, S.: Implicit Learning of musical timbre sequences: statistical regularities confronted with acoustical (dis)similarities. Journal of Experimental Psychology: Learning, Memory & Cognition 30, 1131–1142 (2004)

    Article  Google Scholar 

  83. McAdams, S., et al.: Perceptual scaling of synthesized musical timbres: Common dimensions, specificities and latent subject classes. Psychological Research 58, 177–192 (1995)

    Article  Google Scholar 

  84. Grey, J.M.: Multidimensional perceptual scaling of musical timbres. Journal of the Acoustical Society of America 61, 1270–1277 (1977)

    Article  Google Scholar 

  85. Krumhansl, C.L.: Why is musical timbre so hard to understand? In: Nielzen, S., Olsson, O. (eds.) Structure and perception of electroacoustic sound and music, pp. 43–54. Excerpta medica, Amsterdam (1989)

    Google Scholar 

  86. Samson, S., Zatorre, R.J., Ramsay, J.O.: Multidimensional scaling of synthetic musical timbre: perception of spectral and temporal characteristics. Canadian Journal of Experimental Psychology 51, 307–315 (1997)

    Article  Google Scholar 

  87. Ayari, M., McAdams, S.: Aural analysis of Arabic improvised instrumental music (tagsim). Music Perception 21, 159–216 (2003)

    Article  Google Scholar 

  88. Bigand, E., D’Adamo, D.A., Poulin, B.: The implicit learning of twelve-tone music. In: ESCOP 2003, Granada, Spain (2003)

    Google Scholar 

  89. Bigand, E., Perruchet, P., Boyer, M.: Implicit learning of an artificial grammar of musical timbres. Cahiers de Psychologie Cognitive/Current Psychology of Cognition 17(3), 577–600 (1998)

    Google Scholar 

  90. Howard, J.H.J., Ballas, J.A.: Acquisition of acoustic pattern categories by exemplar observation. Organization, Behavior and Human Performance 30, 157–173 (1982)

    Article  Google Scholar 

  91. Howard, J.H.J., Ballas, J.A.: Syntactic and semantic factors in the classification of non-speech transient patterns. Perception & Psychophysics 28(5), 431–439 (1980)

    Google Scholar 

  92. Poulin-Charronnat, B., Tillmann, B., Perruchet, P.: Implicit learning of artificial grammar of tones: direct and indirect judgments (manuscript in preparation)

    Google Scholar 

  93. Tillmann, B., Poulin-Charronnat, B.: Auditory expectations for newly acquired material: Combining implicit learning and priming paradigms (manuscript in preparation)

    Google Scholar 

  94. Tillmann, B., Marmel, F.: Testing musical expectations at various positions inside a chord sequence: An adaptation of the musical priming paradigm (manuscript submitted for publication, 2007)

    Google Scholar 

  95. Stevens, C.: Cross-cultural studies of musical pitch and time. Acoustical Science and Technology 25, 433–438 (2004)

    Article  Google Scholar 

  96. Kessler, E.J., Hansen, C., Shepard, R.N.: Tonal schemata in the perception of music in Bali and in the West. Music Perception 2, 131–165 (1994)

    Google Scholar 

  97. Castellano, M.A., Bharucha, J.J., Krumhansl, C.L.: Tonal hierarchies in the music of North India. Journal of Experimental Psychology: General 113, 394–412 (1984)

    Article  Google Scholar 

  98. Krumhansl, C.L., et al.: Cross-cultural music cognition: cognitive methodology applied to North Sami yoiks. Cognition 76(1), 13–58 (2000)

    Article  Google Scholar 

  99. Krumhansl, C.L., et al.: Melodic expectation in Finnish spiritual folk hymns: Convergence of statistical, behavioral, and computational approaches. Music Perception 17, 151–195 (1999)

    Google Scholar 

  100. Povel, D.-J., Essens, P.J.: Perception of temporal patterns. Music Perception 2, 411–440 (1985)

    Google Scholar 

  101. Keller, P.E., Burnham, D.K.: Musical meter in attention to multipart rhythm. Music Perception 22, 629–661 (2005)

    Article  Google Scholar 

  102. London, J.: Hearing in time. Oxford University Press, New York (2004)

    Google Scholar 

  103. Hannon, E.E., Trehub, S.E.: Metrical categories in infancy and adulthood. Psychological Science 16, 48–55 (2005)

    Article  Google Scholar 

  104. Hannon, E.E., Trehub, S.E.: Tuning in to musical rhythms: Infants learn more readily than adults. Proceedings of the National Academy of Sciences of the United States of America 102, 12639–12643 (2005)

    Article  Google Scholar 

  105. Bharucha, J.J., Olney, K.L.: Tonal cognition, artificial intelligence and neural nets. Contemporary Music Review 4, 341–356 (1989)

    Article  Google Scholar 

  106. Schoenberg, A.: Style and idea: Selected writings of Arnold Schonberg. Farber and Farber, London (1941)

    Google Scholar 

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Richard Kronland-Martinet Sølvi Ystad Kristoffer Jensen

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Tillmann, B. (2008). Music Cognition: Learning, Perception, Expectations. In: Kronland-Martinet, R., Ystad, S., Jensen, K. (eds) Computer Music Modeling and Retrieval. Sense of Sounds. CMMR 2007. Lecture Notes in Computer Science, vol 4969. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85035-9_2

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