{"pk":31804,"title":"Distribution and frequency: Modelling the effects of speaking rate o n category boundaries using a recurrent neural network","subtitle":null,"abstract":"We describe a recurrent neural network model of rate effects on the syllable-initial voicing distinction, specified by voiceonset-time (VOT). The stimuli were stylized /bi/ and /pi/ syllables covarying in VOT and syllable duration. Network performance revealed a systematic rate effect: as syllable duration increases, the category boundary moves toward longer VOT values, mirroring human performance. Two factors underlie this effect: the range of training stimuli with each VOT and syllable duration, and their frequency of occurrence. The latter influence was particularly strong, consistent with exemplar-based accounts of human category formation.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[],"section":"Refereed Papers","is_remote":true,"remote_url":"https://escholarship.org/uc/item/0m6184bv","frozenauthors":[{"first_name":"Mukhlis","middle_name":"","last_name":"Abu-Bakar","name_suffix":"","institution":"University of Wales","department":""},{"first_name":"Nick","middle_name":"","last_name":"Chater","name_suffix":"","institution":"University of Edinburgh","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"1994-01-01T13:00:00-05:00","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/31804/galley/22872/download/"}]}