Skip to main content
banner image
No data available.
Please log in to see this content.
You have no subscription access to this content.
No metrics data to plot.
The attempt to load metrics for this article has failed.
The attempt to plot a graph for these metrics has failed.
The full text of this article is not currently available.
1. Donai, J. J. , and Lass, N. J. (2015). “ Gender identification from high-pass filtered vowel segments: The use of high-frequency energy,” Att. Percep. Psychophys. 77(7), 24522462.
2. Fuller, C. D. , Galvin, J. J. , III, Free, R. H. , and Baskent, D. (2014a). “ Musician effect in cochlear implant simulated gender categorization,” J. Acoust. Soc. Am. 135(3), EL159EL165.
3. Fuller, C. D. , Galvin, J. J. , III, Maat, B. , Free, R. H. , and Baskent, D. (2014b). “ The musician effect: Does it persist under degraded pitch conditions of cochlear implant simulations?,” Front. Neurosci. 8, 116.
4. Greenwood, D. D. (1990). “ A cochlear frequency position function for several species—29 years later,” J. Acoust. Soc. Am. 87(6), 25922605.
5. Iliadou, V. , Bamiou, D. E. , Chermak, G. D. , and Nimatoudis, I. (2014). “ Comparison of two tests of temporal resolution in children with central auditory processing disorder, adults with psychosis, and adult professional musicians,” Int. J. Audiol. 53(8), 507513.
6. Massida, Z. , Marx, M. , Belin, P. , James, C. , Fraysse, B. , Barone, P. , and Deguine, O. (2013). “ Gender categorization in cochlear implant users,” J. Speech Lang. Hear. Res. 56, 13891401.
7. Mishra, S. K. , Panda, M. R. , and Herbert, C. (2014). “ Enhanced auditory temporal gap detection in listeners with musical training,” J. Acoust. Soc. Am. 136(2), E173E178.
8. Monteiro, R. A. , Nascimento, F. M. , Soares, C. D. , and Ferreira, M. (2010). “ Temporal resolution abilities in musicians and no musician violinists,” Intl. Arch. Otorhinolaryngol. 14(3), 302308.
9. Moreno, S. , Marques, C. , Santos, A. , Santos, M. , Castro, S. L. , and Benson, M. (2009). “ Musical training influences linguistic abilities in 8-year-old children: More evidence for brain plasticity,” Cereb. Cortex 19, 712723.
10. Musiek, F. , Shinn, J. , Jirsa, R. , Doris-Eva, B. , Baran, J. A. , and Zaidan, E. (2005). “ The GIN (Gaps-In-Noise) test performance in subjects with confirmed central auditory nervous system involvement,” Ear Hear. 26(6), 608617.
11. Parbery-Clark, A. , Anderson, A. , and Kraus, N. (2013). “ Musicians change their tune: How hearing loss alters the neural code,” Hear. Res. 302, 121131.
12. Parbery-Clark, A. , Skoe, E. , Lam, C. , and Kraus, N. (2009). “ Musician enhancement for speech-in-noise,” Ear Hear. 30(6), 653661.
13. Parbery-Clark, A. , Tierney, A. , Strait, D. L. , and Kraus, N. (2012). “ Musicians have fine-tuned neural distinction of speech syllables,” Neuroscience 219, 111119.
14. Rammsayer, T. , and Altenmüller, E. (2006). “ Temporal information processing in musicians and nonmusicians,” Music Percep. 24, 3748.
15. Sadakata, M. , and Sekiyama, K. (2011). “ Enhanced perception of various linguistic features by musicians: A cross-linguistic study,” Acta Psychol. 138, 110.
16. Schvartz, K. C. , and Chatterjee, M. (2012). “ Gender identification in younger and older adults: Use of spectral ad temporal cues in noise-vocoded speech,” Ear Hear. 33(3), 411420.
17. Strait, D. L. , and Kraus, N. (2014). “ Biological impact of auditory expertise across the life span: Musicians as a model of auditory learning,” Hear. Res. 308, 109121.
18. Strait, D. L. , Kraus, N. , Parbery-Clark, A. , and Ashley, R. (2010). “ Musical experience shapes top-down auditory mechanisms: Evidence from masking and auditory attention performance,” Hear. Res. 261, 2229.
19. Strait, D. L. , O'Connell, S. , Parbery-Clark, A. , and Kraus, N. (2013). “ Musicians' enhanced neural differentiation of speech sounds arises early in life: Developmental evidence from ages three to thirty,” Cereb. Cortex 24, 25122521.
20. Tierney, A. T. , Bergeson, T. , and Pisoni, T. B. (2008). “ Effects of early musical experience on auditory sequence memory,” Emp. Music. Rev. 3(4), 178186, available at
21. Zendel, B. R. , and Alain, C. (2012). “ Musicians experience less age-related decline central auditory processing,” Psychol. Aging 27, 410417.

Data & Media loading...


Article metrics loading...



This study evaluated performance on a gender identification and temporal resolution task among active musicians and age-matched non-musicians. Brief duration (i.e., 50 and 100 ms) vowel segments produced by four adult male and four adult female speakers were spectro-temporally degraded using various parameters and presented to both groups for gender identification. Gap detection thresholds were measured using the gaps-in-noise (GIN) test. Contrary to the stated hypothesis, a significant difference in gender identification was not observed between the musician and non-musician listeners. A significant difference, however, was observed on the temporal resolution task, with the musician group achieving approximately 2 ms shorter gap detection thresholds on the GIN test compared to the non-musician counterparts. These results provide evidence supporting the potential benefits of musical training on temporal processing abilities, which have implications for the processing of speech in degraded listening environments and the enhanced processing of the fine-grained temporal aspects of the speech signal. The results also support the GIN test as an instrument sensitive to temporal processing differences among active musicians and non-musicians.


Full text loading...


Access Key

  • FFree Content
  • OAOpen Access Content
  • SSubscribed Content
  • TFree Trial Content
752b84549af89a08dbdd7fdb8b9568b5 journal.articlezxybnytfddd