Feature distance effects in a word reconstruction task
نویسندگان
چکیده
Some models of spoken word recognition assume that the phonetic segments of a word are composed of distinctive features. A match between a feature detector and feature information in the acoustic signal increases the chance of identifying the phonetic segment. If only some of the detectors for a segment match, the chances of identifying the segment drop. Pairs of segments differ in the number of features they share, e.g., /f/ and /v/ differ by just one feature whereas /f/ and /g/ differ by six. Correctly identifying /f/ should occur more often if it were replaced by /v/ than if it were replaced by /g/. The present experiment tested the hypothesis that the greater the feature distance between a target segment and a replacing segment, the poorer the chance of correctly identifying the target segment. The hypothesis was tested for two feature systems and with two matching strategies. This experiment offers some support for the hypothesis.
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