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Konferenzbeitrag

Modelling the effect of speaker familiarity and noise on infant word recognition

MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons41950

Bergmann,  Christina
Centre for Language Studies • Radboud University Nijmegen;
International Max Planck Research School for Language Sciences, MPI for Psycholinguistics, Max Planck Society;

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Bergmann_et_al_Interspeech_2010.pdf
(Verlagsversion), 385KB

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Zitation

Bergmann, C., Gubian, M., & Boves, L. (2010). Modelling the effect of speaker familiarity and noise on infant word recognition. In Proceedings of the 11th Annual Conference of the International Speech Communication Association [Interspeech 2010] (pp. 2910-2913). ISCA.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-000F-5A54-A
Zusammenfassung
In the present paper we show that a general-purpose word learning model can simulate several important findings from recent experiments in language acquisition. Both the addition of background noise and varying the speaker have been found to influence infants’ performance during word recognition experiments. We were able to replicate this behaviour in our artificial word learning agent. We use the results to discuss both advantages and limitations of computational models of language acquisition.