John W. Mullennix, Tressa Bihon, Jodie Bricklemyer, Jeremy Gaston, Jessica M. Keener
Abstract
The effects of variation from stimulus to stimulus in emotional tone of voice on speech perception were examined through a series of perceptual experiments. Stimuli were recorded from human speakers who produced utterances in tones of voice designed to convey affective information. Then, stimuli varying in talker voice and emotional tone were presented to listeners for perceptual matching and classification. The results showed that both intertalker variation in talker voice and intratalker variation in emotional tone had a negative effect on perceptual performance. The results suggest that sources of variation in the speech signal that affect the spectral/temporal properties of speech (i.e., talker voice, speech rate, emotional tone) may be treated differently than sources of variation that do not affect these properties (i.e., vocal amplitude).
This research output has an Altmetric Attention Score of 14. 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 24 August 2026.
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#3,426,253
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Outputs from Language and Speech
#24
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Outputs of similar age
#5,367
of 73,244 outputs
Outputs of similar age from Language and Speech
#1
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Altmetric has tracked 34,192,907 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 385 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done particularly well, scoring higher than 93% of its peers.
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We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them
