ChoiceKey: A real-time speech recognition program for psychology experiments with a small response set |
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Authors: | Christopher Donkin Scott D Brown Andrew Heathcote |
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Institution: | (1) School of Psychology, University of Newcastle, 2308 Callaghan, NSW, Australia |
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Abstract: | Psychological experiments often collect choice responses using buttonpresses. However, spoken responses are useful in many
cases—for example, when working with special clinical populations, or when a paradigm demands vocalization, or when accurate
response time measurements are desired. In these cases, spoken responses are typically collected using a voice key, which
usually involves manual coding by experimenters in a tedious and error-prone manner. We describe ChoiceKey, an open-source
speech recognition package for MATLAB. It can be optimized by training for small response sets and different speakers. We
show ChoiceKey to be reliable with minimal training for most participants in experiments with two different responses. Problems
presented by individual differences, and occasional atypical responses, are examined, and extensions to larger response sets
are explored. The ChoiceKey source files and instructions may be downloaded as supplemental materials for this article from
brm.psychonomic-journals.org/content/supplemental. |
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