Journal article
Don't force it! Gradient speech categorization calls for continuous categorization tasks
The Journal of the Acoustical Society of America, Vol.152(6), pp.3728-3745
12/20/2022
DOI: 10.1121/10.0015201
PMCID: PMC9894657
PMID: 36586841
Abstract
Research on speech categorization and phoneme recognition has relied heavily on tasks in which participants listen to stimuli from a speech continuum and are asked to either classify each stimulus (identification) or discriminate between them (discrimination). Such tasks rest on assumptions about how perception maps onto discrete responses that have not been thoroughly investigated. Here, we identify critical challenges in the link between these tasks and theories of speech categorization. In particular, we show that patterns that have traditionally been linked to categorical perception could arise despite continuous underlying perception and that patterns that run counter to categorical perception could arise despite underlying categorical perception. We describe an alternative measure of speech perception using a visual analog scale that better differentiates between processes at play in speech categorization, and we review some recent findings that show how this task can be used to better inform our theories.
Details
- Title: Subtitle
- Don't force it! Gradient speech categorization calls for continuous categorization tasks
- Creators
- Keith S. Apfelbaum - Department of Psychological and Brain SciencesEthan Kutlu - Department of Psychological and Brain SciencesBob McMurray - Department of Psychological and Brain SciencesEfthymia C. Kapnoula - Ikerbasque
- Resource Type
- Journal article
- Publication Details
- The Journal of the Acoustical Society of America, Vol.152(6), pp.3728-3745
- DOI
- 10.1121/10.0015201
- PMID
- 36586841
- PMCID
- PMC9894657
- NLM abbreviation
- J Acoust Soc Am
- ISSN
- 0001-4966
- eISSN
- 1520-8524
- Number of pages
- 18
- Grant note
- 793919 / Horizon 2020 Framework Programme (10.13039/100010661) PID2020-113348GB-I00 / Ministerio de Ciencia, Innovación y Universidades (10.13039/100014440) BERC 2018-2021 / Eusko Jaurlaritza (10.13039/501100003086) DC008089 / National Institutes of Health SEV-2015-0490 / Agencia Estatal de Investigación (10.13039/501100011033) BERC 2022-2025 / Eusko Jaurlaritza (10.13039/501100003086) CEX2020-001010-S / Agencia Estatal de Investigación (10.13039/501100011033)
- Date published
- 12/20/2022
- Academic Unit
- Communication Sciences and Disorders; Linguistics; Psychological and Brain Sciences; Iowa Neuroscience Institute; Center for Social Science Innovation; Otolaryngology
- Record Identifier
- 9984339458702771
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