Rhythm is an essential part of the structure, behaviour, and aesthetics of music. However, the cognitive processing that underlies the perception of musical rhythm is not fully understood. In this study, we tested whether rhythm perception is influenced by three factors: musical training, the presence of expressive performance cues in human-performed music, and the broader musical context. We compared musicians and nonmusicians’ similarity ratings for pairs of rhythms taken from Steve Reich’s Clapping Music. The rhythms were heard both in isolation and in musical context and both with and without expressive performance cues. The results revealed that rhythm perception is influenced by the experimental conditions: rhythms heard in musical context were rated as less similar than those heard in isolation; musicians’ ratings were unaffected by expressive performance, but nonmusicians rated expressively performed rhythms as less similar than those with exact timing; and expressively-performed rhythms were rated as less similar compared to rhythms with exact timing when heard in isolation but not when heard in musical context. The results also showed asymmetrical perception: the order in which two rhythms were heard influenced their perceived similarity. Analyses suggest that this asymmetry was driven by the internal coherence of rhythms, as measured by normalized Pairwise Variability Index (nPVI). As predicted, rhythms were perceived as less similar when the first rhythm in a pair had greater coherence (lower nPVI) than the second rhythm, compared to when the rhythms were heard in the opposite order.
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Bailey J. A. , & Penhune V. B. (2010). Rhythm synchronization performance and auditory working memory in early- and late-trained musicians. Exp. Brain Res. , 204, 91–101.
Bharucha J. , & Krumhansl C. L. (1983). The representation of harmonic structure in music: Hierarchies of stability as a function of context. Cognition , 13, 63–102.
Bharucha J. J. , & Pryor J. H. (1986). Disrupting the isochrony underlying rhythm: An asymmetry in discrimination. Percept. Psychophys. , 40, 137–141.
Cameron D. J. , & Grahn J. A. (2014). Enhanced timing abilities in percussionists generalize to rhythms without a musical beat. Front. Hum. Neurosci. , 8, 1003. doi: 10.3389/fnhum.2014.01003.
Cameron D. J. , Bentley J. , & Grahn J. A. (2015). Cross-cultural influences on rhythm processing: reproduction, discrimination, and beat tapping. Front. Psychol. , 6, 366. doi: 10.3389/fpsyg.2015.00366.
Chater N. , & Vitanyi P. M. B. (2003). The generalized universal law of generalization. J. Math. Psychol., 47, 346–369.
Chen J. L. , Penhune V. B. , & Zatorre R. J. (2008). Moving on time: Brain network for auditory-motor synchronization is modulated by rhythm complexity and musical training. J. Cogn. Neurosci. , 20, 226–239.
Dalla Bella S. , & Peretz I. (2005). Differentiation of classical music requires little learning but rhythm. Cognition , 96, B65–78.
Drake C. , & Palmer C. (2000). Skill acquisition in music performance: Relations between planning and temporal control. Cognition , 74, 1–32.
Drake C. , Penel A. , & Bigand E. (2000). Tapping in time with mechanically and expressively performed music. Music Percept., 18, 1–23.
Eerola T. , Järvinen T. , Louhivuori J. , & Toiviainen P. (2001). Statistical features and perceived similarity of folk melodies. Music Percept., 18, 275–296.
Essens P. (1995). Structuring temporal sequences: Comparison of models and factors of complexity. Percept. Psychophys., 57, 519–532.
Fitch W. T. , & Rosenfeld A. J. (2007). Perception and production of syncopated rhythms. Music Percept., 25, 43–58.
Forth J. (2012). Cognitively-motivated geometric methods of pattern discovery and models of similarity in music. PhD thesis. Goldsmiths, University of London, UK.
Fujioka T. , Trainor L. J. , Large E. W. , & Ross B. (2012). Internalized timing of isochronous sounds is represented in neuromagnetic β oscillations. J Neurosci , 32 (5), 1791–1802.
Gärdenfors P. (2000). Conceptual spaces: the geometry of thought . Cambridge, MA, USA: MIT Press.
Goldstone R. L. , & Son J. Y. (2005). Similarity. Cambridge, UK, & New York, NY, USA: Cambridge University Press.
Grahn J. A. , & Brett M. (2007). Rhythm and beat perception in motor areas of the brain. J. Cogn. Neurosci. , 19, 893–906.
Grahn J. A. , & Rowe J. B. (2009). Feeling the beat: Premotor and striatal interactions in musicians and nonmusicians during beat perception. J. Neurosci. , 29, 7540–7548.
Grahn J. A. , & Schuit D. (2012). Individual differences in rhythmic ability: Behavioral and neuroimaging investigations. Psychomusicology, 22, 105–121.
Hofmann-Engl L. (2002). Rhythmic similarity: A theoretical and empirical approach. In Stevens C. , Burnham D. , McPherson G. , Schubert E. , & Renwick J. (Eds), Proceedings of the seventh international conference on music perception and cognition, Sydney, Australia pp. 564–567.
Jones M. R. , & Boltz M. (1989). Dynamic attending and responses to time. Psychol. Rev. , 96, 459–491.
Keller P. E. , & Schubert E. (2011). Cognitive and affective judgements of syncopated musical themes. Adv. Cogn. Psychol., 7, 142–156.
Kornysheva K. , von Cramon D. Y. , Jacobsen T. , & Schubotz R. I. (2010). Tuning-in to the beat: Aesthetic appreciation of musical rhythms correlates with a premotor activity boost. Hum, Brain Mapp. , 31, 48–64.
Krumhansl C.L. (1983). Perceptual structures for tonal music. Music Percept. , 1, 24–58.
Kung S. J. , Tzeng O. J. , Hung D. L. , & Wu D. H. (2011). Dynamic allocation of attention to metrical and grouping accents in rhythmic sequences. Exp. Brain Res. , 210, 269–282.
Lamont A. , & Dibben N. (2001). Motivic structure and the perception of similarity. Music Percept., 18, 245–274.
London J. (2004). Hearing in time: Psychological aspects of musical meter. Oxford, UK: Oxford University Press.
McAuley J. D. , Jones M. R. , Holub S. , Johnston H. M. , & Miller N. S. (2006). The time of our lives: Life span development of timing and event tracking. J. Exp. Psychol. Gen. , 135, 348–367.
Müllensiefen D. , & Frieler K. (2004). Cognitive adequacy in the measurement of melodic similarity: Algorithmic vs. human judgements. Comput Musicol. , 13, 147–176.
Müllensiefen D. , Gingras B. , Musil J. , & Stewart L. (2014). The musicality of non-musicians: an index for assessing musical sophistication in the general population. PLoS One , 9, e89642. doi: 10.1371/journal.pone.0089642.
Nosofsky R. M. (1986). Attention, similarity, and the identification-categorization relationship. J. Exp. Psychol. Gen., 115, 39–57.
Nosofsky R. M. (1991). Stimulus bias, asymmetric similarity, and classification. Cogn. Psychol., 23, 94–140.
Ortony A. , Vondruska R. J. , Foss M. A. , & Jones L. E. (1985). Salience, similes, and the asymmetry of similarity. J. Mem. Lang., 24, 569–594.
Palmer C. , & Krumhansl C. (1990). Mental representations for musical meter. J. Exp. Psychol. Hum. Percept. Perform. , 16, 728–741.
Patel A. D. , & Daniele J. R. (2003). An empirical comparison of rhythm in language and music. Cognition , 87, B35–45.
Phillips-Silver J. , Toiviainen P. , Gosselin N. , Piché O. , Nozaradan S. , Palmer C. , & Peretz I. (2011). Born to dance but beat deaf: A new form of congenital amusia. Neuropsychologia , 49, 961–969.
Potter K . (2000). Four musical minimalists : La Monte Young, Terry Riley, Steve Reich, Philip Glass . Cambridge, UK, & New York, NY, USA: Cambridge University Press.
Povel D. J. (1984). A theoretical framework for rhythm perception. Psychol. Res. , 45, 315–337.
Povel D. , & Essens P. (1985). Perception of temporal patterns. Music Percept., 2, 411–440.
Reich S. (1972). Clapping Music . Music recording. Nonesuch Records.
Reich S. (1974). Writings About Music . Halifax, Nova Scotia, Canada: Press of the Nova Scotia College of Art and Design.
Reich S. (1980). Clapping Music. Musical score. London, UK: Universal Edition.
Repp B. H. (1998). Obligatory “expectations” of expressive timing induced by perception of musical structure. Psychol. Res. , 61, 33–43.
Shepard R. N. (1987). Toward a universal law of generalization for psychological science. Science , 237(4820), 1317–1323.
Smith L. (2010). Rhythmic similarity using metrical profile matching. Ann Arbor, MI, USA: Michigan Publishing, University of Michigan Library.
Soley G. , & Hannon E. E. (2010). Infants prefer the musical meter of their own culture: A cross-cultural comparison. Dev. Psychol. , 46, 286–292.
Toussaint G. T. (2013). The pairwise variability index as a measure of rhythm complexity. Anal. Appr . World Music , 2, 1–42 .
Tversky A. (1977). Features of similarity. Psychol. Rev., 84, 327–352.
All Time | Past 365 days | Past 30 Days | |
---|---|---|---|
Abstract Views | 263 | 106 | 11 |
Full Text Views | 707 | 39 | 2 |
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Rhythm is an essential part of the structure, behaviour, and aesthetics of music. However, the cognitive processing that underlies the perception of musical rhythm is not fully understood. In this study, we tested whether rhythm perception is influenced by three factors: musical training, the presence of expressive performance cues in human-performed music, and the broader musical context. We compared musicians and nonmusicians’ similarity ratings for pairs of rhythms taken from Steve Reich’s Clapping Music. The rhythms were heard both in isolation and in musical context and both with and without expressive performance cues. The results revealed that rhythm perception is influenced by the experimental conditions: rhythms heard in musical context were rated as less similar than those heard in isolation; musicians’ ratings were unaffected by expressive performance, but nonmusicians rated expressively performed rhythms as less similar than those with exact timing; and expressively-performed rhythms were rated as less similar compared to rhythms with exact timing when heard in isolation but not when heard in musical context. The results also showed asymmetrical perception: the order in which two rhythms were heard influenced their perceived similarity. Analyses suggest that this asymmetry was driven by the internal coherence of rhythms, as measured by normalized Pairwise Variability Index (nPVI). As predicted, rhythms were perceived as less similar when the first rhythm in a pair had greater coherence (lower nPVI) than the second rhythm, compared to when the rhythms were heard in the opposite order.
All Time | Past 365 days | Past 30 Days | |
---|---|---|---|
Abstract Views | 263 | 106 | 11 |
Full Text Views | 707 | 39 | 2 |
PDF Views & Downloads | 441 | 36 | 2 |