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Phonological perception by birds: budgerigars can perceive lexical stress

Overview of attention for article published in Animal Cognition, February 2016
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  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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3 X users
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1 peer review site
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1 YouTube creator

Citations

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20 Dimensions

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56 Mendeley
Title
Phonological perception by birds: budgerigars can perceive lexical stress
Published in
Animal Cognition, February 2016
DOI 10.1007/s10071-016-0968-3
Pubmed ID
Authors

Marisa Hoeschele, W. Tecumseh Fitch

Abstract

Metrical phonology is the perceptual "strength" in language of some syllables relative to others. The ability to perceive lexical stress is important, as it can help a listener segment speech and distinguish the meaning of words and sentences. Despite this importance, there has been little comparative work on the perception of lexical stress across species. We used a go/no-go operant paradigm to train human participants and budgerigars (Melopsittacus undulatus) to distinguish trochaic (stress-initial) from iambic (stress-final) two-syllable nonsense words. Once participants learned the task, we presented both novel nonsense words, and familiar nonsense words that had certain cues removed (e.g., pitch, duration, loudness, or vowel quality) to determine which cues were most important in stress perception. Members of both species learned the task and were then able to generalize to novel exemplars, showing categorical learning rather than rote memorization. Tests using reduced stimuli showed that humans could identify stress patterns with amplitude and pitch alone, but not with only duration or vowel quality. Budgerigars required more than one cue to be present and had trouble if vowel quality or amplitude were missing as cues. The results suggest that stress patterns in human speech can be decoded by other species. Further comparative stress-perception research with more species could help to determine what species characteristics predict this ability. In addition, tests with a variety of stimuli could help to determine how much this ability depends on general pattern learning processes versus vocalization-specific cues.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 2%
Austria 1 2%
Unknown 54 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 30%
Researcher 12 21%
Student > Master 7 13%
Student > Doctoral Student 5 9%
Professor 4 7%
Other 6 11%
Unknown 5 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 32%
Psychology 9 16%
Neuroscience 6 11%
Linguistics 4 7%
Computer Science 4 7%
Other 6 11%
Unknown 9 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 04 August 2017.
All research outputs
#12,947,444
of 22,852,911 outputs
Outputs from Animal Cognition
#1,051
of 1,456 outputs
Outputs of similar age
#134,445
of 298,590 outputs
Outputs of similar age from Animal Cognition
#19
of 32 outputs
Altmetric has tracked 22,852,911 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,456 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 33.4. This one is in the 26th percentile – i.e., 26% of its peers scored the same or lower than it.
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 298,590 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 54% of its contemporaries.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.