{"pk":28044,"title":"The Effects of Background Noise on Native and Non-native Spoken-wordRecognition: A Computational Modelling Approach","subtitle":null,"abstract":"How does the presence of background noise affect thecognitive processes underlying spoken-word recognition? Andhow do these effects differ in native and non-native languagelisteners? We addressed these questions using artificial neural-network modelling. We trained a deep auto-encoderarchitecture on binary phonological and semanticrepresentations of 121 English and Dutch translationequivalents. We also varied exposure to the two languages togenerate ‘native English’ and ‘non-native English’ trainednetworks. These networks captured key effects in theperformance (accuracy rates and the number of erroneousresponses per word stimulus) of English and Dutch listeners inan offline English spoken-word identification experiment(Scharenborg et al., 2017), which considered clean and noisylistening conditions and three intensities of speech-shapednoise, applied word-initially or word-finally. Our simulationssuggested that the effects of noise on native and non-nativelistening are comparable and can be accounted for within thesame cognitive architecture for spoken-word recognition.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[{"word":"spoken-word recognition; non-native listening;noise; computational modelling; deep neural networks"}],"section":"Publication-based-Talks","is_remote":true,"remote_url":"https://escholarship.org/uc/item/51v4f4r5","frozenauthors":[{"first_name":"Themis","middle_name":"","last_name":"Karaminis","name_suffix":"","institution":"Edge Hill University","department":""},{"first_name":"Odette","middle_name":"","last_name":"Scharenborg","name_suffix":"","institution":"Radboud University","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"2018-01-01T18:00:00Z","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/28044/galley/17683/download/"}]}