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Journal of Hearing Science
Article . 2014 . Peer-reviewed
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TEMPORAL PROCESSING IN MUSICIANS AND NON-MUSICIANS

PRZETWARZANIE STRUKTURY CZASOWEJ SYGNAŁU U MUZYKÓW I NIE-MUZYKÓW
Authors: Priyanka Kumar; Baljeet Rana; Rajalakshmi Krishna;

TEMPORAL PROCESSING IN MUSICIANS AND NON-MUSICIANS

Abstract

BackgroundTemporal processing abilities are important for speech perception, and they are generally superior in musicians than in non-musicians. Since there are many different training methods used to develop musical expertise (e.g. vocal or instrumental), these differences could lead to varying temporal processing abilities of acoustic signals. The current study aims to see if there are any differences in temporal processing abilities between violinists and vocalists.Material and MethodsFour different psychoacoustic tests – gap detection threshold (GDT), duration discrimination test (DDT), duration pattern test (DPT), and the modulation detection threshold for sinusoidally amplitude-modulated noise (SAM) at six different modulation frequencies – were used to assess differences in temporal processing abilities between 15 trained violinists and 15 trained vocalists. The results were compared with a group of 15 non-musicians.ResultsMusicians, both violinists and vocalists, always performed significantly better (p<0.01) than non-musicians in all 4 psychoacoustic tests. Vocalists performed equal to or slightly better than violinists in GDT and at 5/6 modulation frequencies in modulation detection threshold for SAM noise test, although the differences were not statistically significant.ConclusionsAlthough vocalists and instrumentalists undergo different forms of training in terms of the sound they produce and the sound qualities they need to perceive, the training does not lead to any major difference in their temporal processing abilities of acoustic signals.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
11
Top 10%
Average
Average
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