11th Annual Conference of the International Speech Communication Association

Makuhari, Chiba, Japan
September 26-30. 2010

Detecting Categorical Perception in Continuous Discrimination Data

Paul Boersma, Kateřina Chládková

University of Amsterdam, The Netherlands

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.

Full Paper

Bibliographic reference.  Boersma, Paul / Chládková, Kateřina (2010): "Detecting categorical perception in continuous discrimination data", In INTERSPEECH-2010, 102-105.