An attention-gating recurrent working memory architecture for emergent speech representation.
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| Title: | An attention-gating recurrent working memory architecture for emergent speech representation. |
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| Authors: | Elshaw, Mark (AUTHOR), Moore, RogerK. (AUTHOR), Klein, Michael (AUTHOR) |
| Source: | Connection Science. Jun2010, Vol. 22 Issue 2, p157-175. 19p. 8 Diagrams, 2 Charts, 1 Graph. |
| Subjects: | Artificial neural networks, Memory maps (Computer science), Cognition, Memory, Recognition (Psychology), Learning |
| Abstract: | This paper describes an attention-gating recurrent self-organising map approach for emergent speech representation. Inspired by evidence from human cognitive processing, the architecture combines two main neural components. The first component, the attention-gating mechanism, uses actor-critic learning to perform selective attention towards speech. Through this selective attention approach, the attention-gating mechanism controls access to working memory processing. The second component, the recurrent self-organising map memory, develops a temporal-distributed representation of speech using phone-like structures. Representing speech in terms of phonetic features in an emergent self-organised fashion, according to research on child cognitive development, recreates the approach found in infants. Using this representational approach, in a fashion similar to infants, should improve the performance of automatic recognition systems through aiding speech segmentation and fast word learning. [ABSTRACT FROM AUTHOR] |
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| Database: | Psychology and Behavioral Sciences Collection |
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