Modelling the effect of speaker familiarity and noise on infant word recognition
Makuhari, Japan : [S.n.]
InProceedings of Interspeech 2010, pp. CD-4
Interspeech 2010, 26 september 2010
Article in monograph or in proceedings
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CLST - Centre for Language and Speech Technology
Proceedings of Interspeech 2010
SubjectEmergence of structures in speech signals (A Computational Model of Language Acquisition); Sound to Sense (S2S)
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.
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