During visual word recognition, phonology is accessed within 100 ms and may be mediated by a speech production code: evidence from magnetoencephalography [PDF]
Debate surrounds the precise cortical location and timing of access to phonological information during visual word recognition. Therefore, using whole-head magnetoencephalography (MEG), we investigated the spatiotemporal pattern of brain responses ...
Cornelissen, Piers +3 more
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Models of visual word recognition
Reading is a complex process that draws on a remarkable number of diverse perceptual and cognitive processes. In this review, I provide an overview of computational models of reading, focussing on models of visual word recognition-how we recognise individual words.
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Implicit phonological priming during visual word recognition [PDF]
Phonology is a lower-level structural aspect of language involving the sounds of a language and their organization in that language. Numerous behavioral studies utilizing priming, which refers to an increased sensitivity to a stimulus following prior experience with that or a related stimulus, have provided evidence for the role of phonology in visual ...
Lisa B, Wilson +4 more
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A Support Vector Machine-Based Dynamic Network for Visual Speech Recognition Applications
Visual speech recognition is an emerging research field. In this paper, we examine the suitability of support vector machines for visual speech recognition.
Gordan Mihaela +2 more
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The time course of contextual effects on visual word recognition
Sentence comprehension depends on continuous prediction of upcoming words. However, when and how contextual information affects the bottom-up streams of visual word recognition is unknown.
Chia-Ying eLee +5 more
doaj +1 more source
Multisensory benefits for speech recognition in noisy environments
A series of our previous studies explored the use of an abstract visual representation of the amplitude envelope cues from target sentences to benefit speech perception in complex listening environments.
Yonghee Oh +3 more
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Combining Residual Networks with LSTMs for Lipreading
We propose an end-to-end deep learning architecture for word-level visual speech recognition. The system is a combination of spatiotemporal convolutional, residual and bidirectional Long Short-Term Memory networks.
Stafylakis, Themos +1 more
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Do diacritical marks play a role at the early stages of word recognition in Arabic?
A crucial question in the area of visual-word recognition is whether visual-letter similarity plays a role at the early stages of word processing. Here we focused in Arabic because there are various groups of letters that share the same basic shape and ...
Manuel Perea +5 more
doaj +1 more source
A magnetic stimulation examination of orthographic neighborhood effects in visual word recognition [PDF]
The split-fovea theory proposes that visual word recognition is mediated by the splitting of the foveal image, with letters to the left of fixation projected to the right hemisphere (RH) and letters to the right of fixation projected to the left ...
Lavidor, M., Walsh, V.
core +1 more source
Brain asymmetry and visual word recognition: do we have a split fovea? [PDF]
In this chapter we discuss how the anatomical divide between the left and the right brain half has implications for visual word recognition. In particular, it introduces the need for massive interhemispheric communication. Unlike what was believed in the
Brysbaert, Marc +2 more
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