Short-term perceptual reweighting in suprasegmental categorization
Psychonomic Bulletin and Review, ISSN: 1531-5320, Vol: 30, Issue: 1, Page: 373-382
2023
- 5Citations
- 12Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations5
- Citation Indexes5
- CrossRef4
- Captures12
- Readers12
- 12
Article Description
Segmental speech units such as phonemes are described as multidimensional categories whose perception involves contributions from multiple acoustic input dimensions, and the relative perceptual weights of these dimensions respond dynamically to context. For example, when speech is altered to create an “accent” in which two acoustic dimensions are correlated in a manner opposite that of long-term experience, the dimension that carries less perceptual weight is down-weighted to contribute less in category decisions. It remains unclear, however, whether this short-term reweighting extends to perception of suprasegmental features that span multiple phonemes, syllables, or words, in part because it has remained debatable whether suprasegmental features are perceived categorically. Here, we investigated the relative contribution of two acoustic dimensions to word emphasis. Participants categorized instances of a two-word phrase pronounced with typical covariation of fundamental frequency (F0) and duration, and in the context of an artificial “accent” in which F0 and duration (established in prior research on English speech as “primary” and “secondary” dimensions, respectively) covaried atypically. When categorizing “accented” speech, listeners rapidly down-weighted the secondary dimension (duration). This result indicates that listeners continually track short-term regularities across speech input and dynamically adjust the weight of acoustic evidence for suprasegmental decisions. Thus, dimension-based statistical learning appears to be a widespread phenomenon in speech perception extending to both segmental and suprasegmental categorization.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85135275664&origin=inward; http://dx.doi.org/10.3758/s13423-022-02146-5; http://www.ncbi.nlm.nih.gov/pubmed/35915382; https://link.springer.com/10.3758/s13423-022-02146-5; https://dx.doi.org/10.3758/s13423-022-02146-5; https://link.springer.com/article/10.3758/s13423-022-02146-5
Springer Science and Business Media LLC
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