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dc.contributor.authorZheng, Yi
dc.contributor.authorSamuel, Arthur G.
dc.date2025-01-30
dc.date.accessioned2023-03-07T13:58:42Z
dc.date.available2023-03-07T13:58:42Z
dc.date.issued2023
dc.identifier.citationYi Zheng, Arthur G. Samuel, Flexibility and stability of speech sounds: The time course of lexically-driven recalibration, Journal of Phonetics, Volume 97, 2023, 101222, ISSN 0095-4470, https://doi.org/10.1016/j.wocn.2023.101222es_ES
dc.identifier.citationJournal of Phonetics
dc.identifier.issn0095-4470
dc.identifier.urihttp://hdl.handle.net/10810/60290
dc.descriptionAvailable online 30 January 2023es_ES
dc.description.abstractPerceptual stability is obviously advantageous, but being able to adjust to the prevailing environment is also adaptive. Previous research has identified ways in which the categorization of speech sounds shifts as a function of recently heard speech. Dozens of studies have examined “lexically driven recalibration”, an adjustment to categorization after listeners hear a number of words with a particular speech sound designed to be perceptually ambiguous. Despite the large number of these studies, little is known about how long the adjustment endures. Using two different stimulus sets, we assess the recovery time after lexically driven recalibration. In addition, we examine whether the size of the recalibration effect diminishes during the identification test used to measure it, and whether the recalibration effect is stronger for one side of a tested contrast or the other. The effect did in fact decline during its measurement, and one side of the contrast (/s/) produced stronger shifts than others (/ʃ/ or /h/) under the conditions typically examined in recalibration studies. Recalibration was quite robust after 24 hours for both stimulus sets, and still measurable after one week for one of them. This time course is strikingly different than the recovery times reported in previous studies for two other adjustment processes – selective adaptation and audiovisually driven recalibration. The vastly different time courses pose a major challenge for models that ascribe these phenomena to the same adjustment function. Thus, such models will need to be substantially modified, or alternative models will need to be developed.es_ES
dc.description.sponsorshipThis work was supported by grants from the Economic and Social Research Council (UK) (grant ES/R006288/1) and from the Spanish Ministry for Science and Innovation (grants PSI2017-82563-P and PID2020-113348GB), by the Basque Government, through the BERC 2018–2021 program, and by the Spanish State Research Agency, through the BCBL Severo Ochoa excellence accreditation (grants SEV-2015- 0490 and CEX2020-001010-S).es_ES
dc.language.isoenges_ES
dc.publisherELSEVIERes_ES
dc.relationinfo:eu-repo/grantAgreement/MINECO/PSI2017-82563-Pes_ES
dc.relationinfo:eu-repo/grantAgreement/MINECO/PID2020-113348GB-I00es_ES
dc.relationinfo:eu-repo/grantAgreement/GV/BERC2018-2021es_ES
dc.relationinfo:eu-repo/grantAgreement/MINECO/SEV-2015-0490es_ES
dc.relationinfo:eu-repo/grantAgreement/MINECO/CEX2020-001010-Ses_ES
dc.rightsinfo:eu-repo/semantics/embargoedAccesses_ES
dc.subjectSpeech perceptiones_ES
dc.subjectRecalibrationes_ES
dc.subjectRecovery Timees_ES
dc.subjectTime coursees_ES
dc.titleFlexibility and stability of speech sounds: The time course of lexically-driven recalibrationes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holder© 2023 Elsevier Ltd. All rights reservedes_ES
dc.relation.publisherversionhttps://www.sciencedirect.com/journal/journal-of-phoneticses_ES
dc.identifier.doi10.1016/j.wocn.2023.101222


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