非表示:
キーワード:
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要旨:
DIANA is an end-to-end computational model of speech processing,
which takes as input the speech signal, and provides
as output the orthographic transcription of the stimulus, a
word/non-word judgment and the associated estimated reaction
time. So far, the model has only been tested for Dutch.
In this paper, we extend DIANA such that it can also process
North American English. The model is tested by having it simulate
human participants in a large scale North American English
lexical decision experiment. The simulations show that
DIANA can adequately approximate the reaction times of an
average participant (r = 0.45). In addition, they indicate that
DIANA does not yet adequately model the cognitive processes
that take place after stimulus offset.
