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Does signal reduction imply predictive coding in models of spoken word recognition? [<Journal>]
Luthra, Sahil [Verfasser]; Li, Monica Y. C. [Verfasser]; You, Heejo [Verfasser].
DNB Subject Category Language
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2
Distributed semantics in a neural network model of human speech recognition
In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43 (2021)
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3
Lexically-Mediated Compensation for Coarticulation in Older Adults
In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43 (2021)
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4
Lexically-Mediated Compensation for Coarticulation in Older Adults ...
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Lexically-Mediated Compensation for Coarticulation in Older Adults ...
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Distributed semantics in a neural network model of human speech recognition ...
Abstract: While there are interesting correspondences between form and meaning in many languages, psycholinguists conventionally consider them to be marginal, as they affect only a small subset of words. As such, a common simplification in computational models is to use empirically- or theoretically-motivated representations for form and random vectors for semantics. We recently introduced a novel model of human speech recognition, EARSHOT, which maps spectral slices (form) to pseudo-semantic patterns (sparse random vectors [SRVs]). Here, we replace SRVs with SkipGram vectors. Empirically-based semantics allow the model to learn more quickly and, surprisingly, exhibit more realistic form competition effects. These improved form competition effects do not depend on the particular form-to-meaning mapping in the training lexicon; rather, they arise as a result of the nontrivial output structure. These results suggest that while form-meaning mappings may be mainly arbitrary, realistic semantics afford important ...
Keyword: Cognitive Science
URL: https://dx.doi.org/10.48448/w947-mj25
https://underline.io/lecture/27303-distributed-semantics-in-a-neural-network-model-of-human-speech-recognition
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7
Listener expectations and the perceptual accommodation of talker variability: A pre-registered replication
In: Atten Percept Psychophys (2021)
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8
Does signal reduction imply predictive coding in models of spoken word recognition?
In: Psychon Bull Rev (2021)
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9
Very simple TRACE schematic REVISED ...
Magnuson, James. - : figshare, 2020
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10
Very simple TRACE schematic REVISED ...
Magnuson, James. - : figshare, 2020
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11
Mora monitoring procedure ...
Magnuson, James. - : figshare, 2020
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12
Mora monitoring procedure ...
Magnuson, James. - : figshare, 2020
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13
Simple lexical tree example ...
Magnuson, James. - : figshare, 2020
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14
Simple lexical tree example ...
Magnuson, James. - : figshare, 2020
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15
Simple lexical tree, version 2 ...
Magnuson, James. - : figshare, 2020
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16
Simple lexical tree, version 2 ...
Magnuson, James. - : figshare, 2020
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17
Friends in Low-Entropy Places: Orthographic Neighbor Effects on Visual Word Identification Differ Across Letter Positions
In: Cogn Sci (2020)
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18
Is that a pibu or a pibo? Children with reading and language deficits show difficulties in learning and overnight consolidation of phonologically similar pseudowords
In: Dev Sci (2020)
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19
Boosting lexical support does not enhance lexically guided perceptual learning
In: J Exp Psychol Learn Mem Cogn (2020)
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20
Fixations in the visual world paradigm: where, when, why? [<Journal>]
Magnuson, James S. [Verfasser]
DNB Subject Category Language
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