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Evolution of a rapidly learned representation for speech

Abstract:

Newly born infants are able to finely discriminate almost all human speech contrasts and their phonemic category boundaries are initially identical, even for phonemes outside their target language. A connectionist model is described which accounts for this ability. The approach taken has been to develop a model of innately guided learning in which an artificial neural network (ANN) is stored in a "genome" which encodes its architecture and learning rules. The space of possible ANNs is searche...

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Publication status:
Published

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Journal:
PROCEEDINGS OF THE NINETEENTH ANNUAL CONFERENCE OF THE COGNITIVE SCIENCE SOCIETY
Pages:
536-541
Publication date:
1997-01-01
Event title:
19th Annual Conference of the Cognitive-Science-Society
ISBN:
0805829415
Keywords:
Pubs id:
pubs:7442
UUID:
uuid:ca8d9d7d-58fc-4b1c-9a30-2476d0a58b7f
Local pid:
pubs:7442
Source identifiers:
7442
Deposit date:
2012-12-19

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