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In:Cognitive Individual Differences in Second Language Processing and Acquisition
Edited by Gisela Granena, Daniel O. Jackson and Yucel Yilmaz
[Bilingual Processing and Acquisition 3] 2016
► pp. 131–156

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Music, song and speech

A closer look at the interfaces between musicality, singing and individual differences in phonetic language aptitude

 | Unit for Language Learning and Teaching Research, Department of Linguistics, University of Vienna, Austria | English Linguistics Department, Faculty of Philological and Cultural Studies, University of Vienna, Austria
 | Unit for Language Learning and Teaching Research, Department of Linguistics, University of Vienna, Austria | Centre for Teacher Education, University of Vienna, Austria
Published online: 23 December 2016
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https://doi.org/10.1075/bpa.3.07chr
Abstract
Recent evidence shows that musical aptitude positively influences language acquisition processes. The underlying mechanisms of why and how musical talent heightens one’s ability to detect, imitate and memorize foreign languages, however, have not yet been fully understood. We set out to test vocalists’ ability to imitate speech. Findings indicated that singing capacity is a good predictor for accent imitation and a better predictor of than instrument playing and musical expertise measured perceptually. As we wanted to uncover whether there is a difference between instrumentalists’ and vocalists’ accent imitation abilities, we recruited vocalists, instrumentalists and non-singers/non-musicians and compared their accent imitation skills directly. As expected, vocalists outperformed instrumentalists and non-musicians/non-singers significantly, while the perceptual musicality test showed no significant difference between vocalists and instrumentalists.
Article outline
  • 1.Introduction
    • 1.1The link between music and language
    • 1.2Musicality: one term, many abilities?
    • 1.3Vocalists versus instrumentalists
    • 1.4Perceiving tonal and verbal material
    • 1.5Production of speech and singing
  • 2.Study I: The link between accent imitation and singing capacity
    • 2.1Material, methods and participants
    • 2.2Accent imitation testing
    • 2.3Singing testing
    • 2.4Musical talent testing and working memory
    • 2.5Questionnaires
    • 2.6Results
      • 2.6.1Correlations and descriptives
      • 2.6.2Multiple regressions
      • 2.6.3Multiple regression MLR1
      • 2.6.4Multiple regression MLR2
    • 2.7Discussion
    • 2.8Working memory, music and alterations of the brain
  • 3.Singing and speech production
    • 3.1Singing and the generation of speech
    • 3.2Vocalization and neuronal underpinnings
    • 3.3Voice quality and rhythm
    • 3.4L1 acquisition integrates song-like input
    • 3.5Limitations of the study
    • 3.6Conclusion
  • 4.Study II: Population differences in accent imitation abilities: vocalists versus instrumentalists
    • 4.1Materials and methods
    • 4.2Participants
    • 4.3Results
    • 4.4Discussion
    • 4.5Oromotor system
    • 4.6Conclusion and afterword
  • References
References (70)
References
Baddeley, A. D. (2003). Working memory: Looking back and looking forward. Nature Reviews Neuroscience, 4, 829–839. Google Scholar logo with link to Google Scholar
Balkwill, L.-L., & Thompson, W. F. (1999). A cross-cultural investigation of the perception of emotion in music: Psychophysical and cultural cues. Music Perception, 17(1), 43–64. Google Scholar logo with link to Google Scholar
Belin, P., Zatorre, R. J., Lafaille, P., Ahad, P., & Pike, B. (2000). Voice-selective areas in human auditory cortex. Nature, 403, 309–312. Google Scholar logo with link to Google Scholar
Christiner, M., & Reiterer, S. (2013). Song and speech: Examining the link between singing talent and speech imitation ability. Frontiers in Psychology, 4, 1–11. Google Scholar logo with link to Google Scholar
Colton, R., Casper, J., & Leonard, R. (2006). Understanding voice problems: A physiological perspective for diagnosis and treatment. Baltimore, MD: Lippincott Williams & Wilkins.Google Scholar logo with link to Google Scholar
Darwin, C. (1871). The descent of man, and selection in relation to sex (Vol. 2). London, UK: John Murray. Google Scholar logo with link to Google Scholar
Das, T., Singh, L., & Singh, N. C. (2007). Rhythmic structure of Hindi and English: New insights from a computational analysis. Progress in Brain Research, 168, 207–214. Google Scholar logo with link to Google Scholar
Dörnyei, Z., & Taguchi, T. (2010). Questionnaires in second language research: Construction, administration, and processing (2nd ed.). London, UK: Routledge.Google Scholar logo with link to Google Scholar
Ekholm, E., Papagiannis, G. C., & Chagnon, F. P. (1998). Relating objective measurements to expert evaluation of voice quality in western classical singing: critical perceptual parameters. Journal of Voice, 12(2), 182–196. Google Scholar logo with link to Google Scholar
Fonseca-Mora, C., Jara-Jiménez, P., & Gómez-Domínguez, M. (2015). Musical plus phonological input for young foreign language readers. Frontiers in Psychology, 6, 1–9. Google Scholar logo with link to Google Scholar
Fritz, T., Jentschke, S., Gosselin, N., Sammler, D., Peretz, I., & Turner, R. et al. (2009). Universal recognition of three basic emotions in music. Current Biology, 19, 573–576. Google Scholar logo with link to Google Scholar
García-López, I., & Gavilán Bouzas, J. (2010). The singing voice. Acta Otorrinolaringológica Española , 61(6), 441–451. Google Scholar logo with link to Google Scholar
Gaser, C., & Schlaug, G. (2003). Brain structures differ between musicians and non-musicians. Journal of Neuroscience, 23(27), 9240–9245.Google Scholar logo with link to Google Scholar
Gordon, E. E. (1989). Advanced measures of music audiation. Chicago, IL: GIA.Google Scholar logo with link to Google Scholar
Grabe, E., & Low, E. L. (2002). Durational variability in speech and the rhythm class hypothesis. In C. Gussenhoven & N. Warner (Eds.), Laboratory Phonology 7 (pp. 515–546). Berlin, Germany: Mouton de Gruyter.Google Scholar logo with link to Google Scholar
Halwani, G. F., Loui, P., Rüber, T., & Schlaug, G. (2011). Effects of practice and experience on the arcuate fasciculus: Comparing singers, instrumentalists, and non-musicians. Frontiers in Psychology, 2, 1–9. Google Scholar logo with link to Google Scholar
Hu, X., Ackermann, H., Martin, J. A., Erb, M., Winkler, S., & Reiterer, S. (2013). Language aptitude for pronunciation in advanced second language (L2) learners: Behavioural predictors and neural substrates. Brain & Language, 127(3), 366–376. Google Scholar logo with link to Google Scholar
Iverson, J. M. (2010). Developing language in a developing body: The relationship between motor development and language development. Journal of Child Language, 37(2), 229–261. Google Scholar logo with link to Google Scholar
Kleber, B., Veit, R., Birbaumer, N., Gruzelier, J., & Lotze, M. (2010). The brain of opera singers: Experience-dependent changes in functional activation. Cerebral Cortex, 20(5), 1144–1152. Google Scholar logo with link to Google Scholar
Kuhl, P. K. (2004). Early language acquisition: Cracking the speech code. Nature Reviews, Neuroscience, 5, 831–843. Google Scholar logo with link to Google Scholar
Levman, B. G. (1992). The genesis of music and language. Ethnomusicology, 36(2), 147–170. Google Scholar logo with link to Google Scholar
Liberman, A. M., & Mattingly, I. G. (1985). The motor theory of speech perception revised. Cognition, 21, 1–36. Google Scholar logo with link to Google Scholar
Liégeois-Chauvel, C., de Graaf, J. B., Laguitton, V., & Chauvel, P. (1999). Specialization of left auditory cortex for speech perception in man depends on temporal coding. Cerebral Cortex, 9(5), 484–496. Google Scholar logo with link to Google Scholar
Limb, C. J. (2006). Structural and functional neural correlates of music perception. Anatomical Record A, 288A(4), 435–446. Google Scholar logo with link to Google Scholar
Livingstone, F. B. (1973). Did the australopithecines sing? Current Anthropology, 14(1/2), 25–29. Google Scholar logo with link to Google Scholar
López-Barroso, D., Catani, M., Ripollés, P., Dell’Acqua, F., Rodríguez-Fornells, A., & de Diego-Balaguer, R. (2013). Word learning is mediated by the left arcuate fasciculus. Proceedings of the National Academy of Sciences, 110(32), 13168–13173. Google Scholar logo with link to Google Scholar
McMullen, E., & Saffran, J. R. (2004). Music and language: A developmental comparison. Music Perception, 21(3), 289–311. Google Scholar logo with link to Google Scholar
Meyer, M., Alter, K., Friederici, A. D., Lohmann, G., & von Cramon, Y. D. (2002). fMRI reveals brain regions mediating slow prosodic modulations in spoken sentences. Human Brain Mapping 17, 73–88. Google Scholar logo with link to Google Scholar
Miller, G. F. (2000). Evolution of human music through sexual selection. In N. L. Wallin, B. Merker & S. Brown (Eds.), The origins of music (pp. 329–360). Cambridge, MA: The MIT Press.Google Scholar logo with link to Google Scholar
Milovanov, R. (2009). Musical aptitude and foreign language learning skills: Neural and behavioural evidence about their connections. Proceedings of the 7th Triennial Conference of European Society for the Cognitive Sciences of Music (ESCOM 2009), 338–342.Google Scholar logo with link to Google Scholar
Mithen, S. (2006). Ethnobiology and the evolution of the human mind. Journal of the Royal Anthropological Institute, 12(Issue Supplement 1), S45–S61. Google Scholar logo with link to Google Scholar
Moreno, S., Bialystok, E., Barac, R., Schellenberg, G. E., Cepeda, N. J., & Chau, T. (2011). Short-term music training enhances verbal intelligence and executive function. Psychological Science, 22(11), 1425–1433. Google Scholar logo with link to Google Scholar
Murphey, T. (1990). The song stuck in my head phenomenon: A melodic din in the lad? System, 18(1), 53–64. Google Scholar logo with link to Google Scholar
Nardo, D., & Reiterer, S. (2009). Musicality and phonetic language aptitude. In G. Dogil & S. Reiterer (Eds.), Language talent and brain activity (pp. 213–256). Berlin: Mouton de Gruyter.Google Scholar logo with link to Google Scholar
Nasir, S. M., & Ostry, D. J. (2008). Speech motor learning in profoundly deaf adults. Nature Neuroscience, 11(10), 1217–1222. Google Scholar logo with link to Google Scholar
(2009). Auditory plasticity and speech motor learning. Proceedings of the National Academy of Sciences, 106(48), 20470–20475. Google Scholar logo with link to Google Scholar
Norton, A., Zipse, L., Marchina, S., & Schlaug, G. (2009). Melodic intonation therapy: Shared insights on how it is done and why it might help. Annals of the New York Academy of Sciences, 1169, 431–436. Google Scholar logo with link to Google Scholar
Omori, K., Kacker, A., Carroll, L. M., Riley, W. D., & Blaugrund, S. M. (1996). Singing power ratio: Quantitative evaluation of singing voice quality. J Voice, 10(3), 228–235. Google Scholar logo with link to Google Scholar
Oechslin, M. S., Meyer, M., & Jäncke, L. (2010). Absolute pitch—functional evidence of speech-relevant auditory acuity. Cerebral Cortex 20, 447–455. Google Scholar logo with link to Google Scholar
Özdemir, E., Norton, A., & Schlaug, G. (2006). Shared and distinct neural correlates of singing and speaking. NeuroImage, 33(2), 628–635. Google Scholar logo with link to Google Scholar
Pastuszek-Lipinska, B. (2004). An overview of a research project and preliminary results of two experiments on perception and production of foreign language sounds by musicians and non-musicians. TMH-QPSR, 46(1), 61–74.Google Scholar logo with link to Google Scholar
Patel, A.D. (2008). Music, language and the brian. Oxford: Oxford University PressGoogle Scholar logo with link to Google Scholar
Pastuszek-Lipinska, B. (2008). Influence of music education on second language acquisition. Proceedings of Acoustics ‘08 Paris, 5125–5130.Google Scholar logo with link to Google Scholar
Patel, A. D. (2008). Music, language, and the brain. Oxford: Oxford University Press.Google Scholar logo with link to Google Scholar
Perkins, J. M., Baran, J. A., & Gandour, J. (1996). Hemispheric specialization in processing intonation contours. Aphasiology 10, 343–362. Google Scholar logo with link to Google Scholar
Ploog, K. (1999). Voicecoaching. Bonn, Germany: Voggenreiter.Google Scholar logo with link to Google Scholar
Polka, L. (1991). Cross-language speech perception in adults: Phonemic, phonetic, and acoustic contributions. Journal of the Acoustical Society of America, 89(6), 2961–2977. Google Scholar logo with link to Google Scholar
Polka, L., Colantonio, C., & Sundara, M. (2001). A cross-language comparison of /d/–/ð/ perception: Evidence for a new developmental pattern. Journal of the Acoustical Society of America, 109(5), 2190–2201. Google Scholar logo with link to Google Scholar
Reiterer, S., Hu, X., Erb, M., Rota, G., Nardo, D., & Grodd, W. et al. (2011). Individual differences in audio-vocal accent imitation aptitude in late bilinguals: Functional neuro-imaging and brain morphology. Frontiers in Psychology, 2, 1–12. Google Scholar logo with link to Google Scholar
Reiterer, S., Hu, X., Sumathi, T., & Singh, N. C. (2013). Are you a good mimic? Neuro-acoustic signatures for speech imitation ability. Frontiers in Psychology, 4, 1–13. Google Scholar logo with link to Google Scholar
Rilling, J. K., Glasser, M. F., Jbabdi, S., Andersson, J., & Preuss, T. M. (2012). Continuity, divergence, and the evolution of brain language pathways. Frontiers in Evoluntionary Neuroscience, 3, 1–6.Google Scholar logo with link to Google Scholar
Schlaug, G., Marchina, S., & Norton, A. (2009). Evidence for plasticity in white-matter tracts of patients with chronic Broca’s aphasia undergoing intense intonation-based speech therapy. Annals of the New York Academy of Sciences, 1169, 385–394. Google Scholar logo with link to Google Scholar
Schneider, P., Scherg, M., Dosch, G. H., Specht, H. J., Gutschalk, A., & Rupp, A. (2002). Morphology of Heschl’s gyrus reflects enhanced activation in the auditory cortex of musicians. Nature Neuroscience, 5(7), 688–694. Google Scholar logo with link to Google Scholar
Schneider, P., Sluming, V., Roberts, N., Bleeck, S., & Rupp, A. (2005). Structural, functional, and perceptual differences in Heschl’s gyrus and musical instrument preference. Annals of the New York Academy of Sciences, 1060, 387–394. Google Scholar logo with link to Google Scholar
Schön, D., Magne, C., & Besson, M. (2004). The music of speech: Music training facilitates pitch processing in both music and language. Psychophysiology, 41(3), 341–349. Google Scholar logo with link to Google Scholar
Schulze, K., & Koelsch, S. (2012). Working memory for speech and music. Annals of the New York Academy of Sciences, 1252, 229–236. Google Scholar logo with link to Google Scholar
Schulze, K., Vargha-Khadem, F., & Mishkin, M. (2012). Test of a motor theory of long-term auditory memory. Proceedings of the National Academy of Sciences, 109(18), 7121–7125. Google Scholar logo with link to Google Scholar
Schulze, K., Zysset, S., Mueller, K., Friederici, A. D., & Koelsch, S. (2011). Neuroarchitecture of verbal and tonal working memory in nonmusicians and musicians. Human Brain Mapping, 32(5), 771–783. Google Scholar logo with link to Google Scholar
Seither-Preisler, A., Parncutt, R., & Schneider, P. (2014). Size and synchronization of auditory cortex promotes musical, literacy, and attentional skills in children. The Journal of Neuroscience, 34, 10937–10949. Google Scholar logo with link to Google Scholar
Stahl, B., Kotz, S. A., Henseler, I., Turner, R., & Geyer, S. (2011). Rhythm in disguise: Why singing may not hold the key to recovery from aphasia. Brain, 134(10), 3083–3093. Google Scholar logo with link to Google Scholar
Tees, R. C., & Werker, J. F. (1984). Perceptual flexibility: Maintenance or recovery of the ability to discriminate non-native speech sounds. Canadian Journal of Psychology, 38(4), 579–590. Google Scholar logo with link to Google Scholar
Thompson, W. F., Schellenberg, G. E., & Husain, G. (2004). Decoding speech prosody: Do music lessons help? Emotion, 4(1), 46–64. Google Scholar logo with link to Google Scholar
Trofimovich, P., & Baker, W. (2006). Learning second language suprasegmentals: Effect of L2 experience on prosody and fluency characteristics of L2 speech. Studies in Second Language Acquisition, 28(1), 1–30. Google Scholar logo with link to Google Scholar
Wechsler, D. (1939). The measurement of adult intelligence. Baltimore, MD: Williams & Wilkins. Google Scholar logo with link to Google Scholar
Werker, J. F., & Tees, R. C. (2005). Speech perception as a window for understanding plasticity and commitment in language systems of the brain. Developmental Psychobiology, 46(3), 233–251. Google Scholar logo with link to Google Scholar
Werker, J. F., Gilbert, J. H. V., Humphrey, K., & Tees, R. C. (1981). Developmental aspects of cross-language speech perception. Child Development, 52(1), 349–355. Google Scholar logo with link to Google Scholar
Williamson, V. J., Baddeley, A. D., & Hitch, G. J. (2010). Musicians’ and nonmusicians’ short-term memory for verbal and musical sequences: Comparing phonological similarity and pitch proximity. Memory & Cognition, 38(2), 163–175. Google Scholar logo with link to Google Scholar
Wong, P. C. M., & Perrachione, T. K. (2007). Learning pitch patterns in lexical identification by native english-speaking adults. Applied Psycholinguistics, 28(4), 565–585. Google Scholar logo with link to Google Scholar
Wray, A. (2005). The explanatory advantages of the holistic protolanguage model: The case of linguistic irregularity. Behavioral and Brain Sciences, 28(2), 147–148. Google Scholar logo with link to Google Scholar
Zatorre, R. J., Belin, P., & Penhune, V. B. (2002). Structure and function of auditory cortex: music and speech. Trends in Cognitive Sciences 6, 37–46. Google Scholar logo with link to Google Scholar
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Christiner, Markus
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