Journal
PSYCHONOMIC BULLETIN & REVIEW
Volume 23, Issue 6, Pages 1681-1712Publisher
SPRINGER
DOI: 10.3758/s13423-016-1049-y
Keywords
Perceptual magnet effect; Categorical perception; Speech perception; Bayesian inference; Rational analysis
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Funding
- NSF IGERT grant [DGE-0801465]
- NSF [BCS-1320410]
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Categorical effects are found across speech sound categories, with the degree of these effects ranging from extremely strong categorical perception in consonants to nearly continuous perception in vowels. We show that both strong and weak categorical effects can be captured by a unified model. We treat speech perception as a statistical inference problem, assuming that listeners use their knowledge of categories as well as the acoustics of the signal to infer the intended productions of the speaker. Simulations show that the model provides close fits to empirical data, unifying past findings of categorical effects in consonants and vowels and capturing differences in the degree of categorical effects through a single parameter.
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