11th Annual Conference of the International Speech Communication Association

Makuhari, Chiba, Japan
September 26-30. 2010

Modelling the Effect of Speaker Familiarity and Noise on Infant Word Recognition

Christina Bergmann, Michele Gubian, Lou Boves

Radboud Universiteit Nijmegen, The Netherlands

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.

Full Paper

Bibliographic reference.  Bergmann, Christina / Gubian, Michele / Boves, Lou (2010): "Modelling the effect of speaker familiarity and noise on infant word recognition", In INTERSPEECH-2010, 2910-2913.