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Pitch and Time Processing in Speech and Tones: The Effects of Musical Training and Attention

Overview of attention for article published in Journal of Speech, Language & Hearing Research, March 2018
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  • Above-average Attention Score compared to outputs of the same age (58th percentile)
  • Average Attention Score compared to outputs of the same age and source

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Article details
Title
Pitch and Time Processing in Speech and Tones: The Effects of Musical Training and Attention
Published in
Journal of Speech, Language & Hearing Research, March 2018
DOI 10.1044/2017_jslhr-s-17-0207
Pubmed ID
Authors
Abstract

Musical training is often linked to enhanced auditory discrimination, but the relative roles of pitch and time in music and speech are unclear. Moreover, it is unclear whether pitch and time processing are correlated across individuals and how they may be affected by attention. This study aimed to examine pitch and time processing in speech and tone sequences, taking musical training and attention into account. Musicians (16) and nonmusicians (16) were asked to detect pitch or timing changes in speech and tone sequences and make a binary response. In some conditions, the participants were focused on 1 aspect of the stimulus (directed attention), and in others, they had to pay attention to all aspects at once (divided attention). As expected, musicians performed better overall. Performance scores on pitch and time tasks were correlated, as were performance scores for speech and tonal stimuli, but most markedly in musicians. All participants performed better on the directed versus divided attention task, but again, musicians performed better than nonmusicians. In general, this experiment shows that individuals with a better sense of pitch discrimination also have a better sense of timing discrimination in the auditory domain. In addition, although musicians perform better overall, these results do not support the idea that musicians have an added advantage for divided attention tasks. These findings serve to better understand how musical training and attention affect pitch and time processing in the context of speech and tones and may have applications in special populations. https://doi.org/10.23641/asha.5895997.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 63 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Doctoral Student 13 21%
Student > Ph. D. Student 13 21%
Student > Master 9 14%
Researcher 8 13%
Student > Bachelor 2 3%
Other 4 6%
Unknown 14 22%
Readers by discipline
Readers by discipline Count As %
Psychology 10 16%
Neuroscience 8 13%
Linguistics 5 8%
Arts and Humanities 4 6%
Medicine and Dentistry 4 6%
Other 10 16%
Unknown 22 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 December 2019.
All research outputs
#12,055,232
of 34,039,688 outputs
Outputs from Journal of Speech, Language & Hearing Research
#1,905
of 4,461 outputs
Outputs of similar age
#158,052
of 379,795 outputs
Outputs of similar age from Journal of Speech, Language & Hearing Research
#30
of 59 outputs
Altmetric has tracked 34,039,688 research outputs across all sources so far. This one has received more attention than most of these and is in the 64th percentile.
So far Altmetric has tracked 4,461 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one has gotten more attention than average, scoring higher than 56% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 379,795 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.