- Detecting categorical perception in continuous discrimination data
- Pages (from-to)
- Document type
- Faculty of Humanities (FGw)
- Amsterdam Center for Language and Communication (ACLC)
We present a method for assessing categorical perception from continuous discrimination data. Until recently, categorical perception of speech has exclusively been measured by
discrimination and identification experiments with a small number of repeatedly presented stimuli. Experiments by Rogers and Davis  have shown that using non-repeating
stimuli along a densely-sampled phonetic continuum yields a more reliable measure of categorization. However, no analysis method has been proposed that would preserve the continuous nature of the obtained discrimination data. In the present study, we describe a method of analysis that can be applied to continuous discrimination data without having to discretize the raw data at any time during the analysis.
- Proceedings title: Proceedings of the 11th Annual Conference of the International Speech Communication Association: 26-30
September, 2010, Makuhari, Chiba, Japan [cd-rom]
Place of publication: Makuhari
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