Results 31 to 40 of about 63,608 (156)
Item performance in visual word recognition [PDF]
Standard factorial designs in psycholinguistics have been complemented recently by large-scale databases providing empirical constraints at the level of item performance. At the same time, the development of precise computational architectures has led modelers to compare item-level performance with item-level predictions. It has been suggested, however,
Rey, Arnaud +3 more
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Is RoAsT tougher than StEAk?: The effect of case mixing on perception of multi-letter graphemes [PDF]
Case mixing is a technique that is used to investigate the perceptual processes involved in visual word recognition. Two experiments examined the effect of case mixing on lexical decision latencies.
Jelena Havelka, Clive Frankish
doaj
A multistream model of visual word recognition [PDF]
Four experiments are reported that test a multistream model of visual word recognition, which associates letter-level and word-level processing channels with three known visual processing streams isolated in macaque monkeys: the magno-dominated (MD) stream, the interblob-dominated (ID) stream, and the blob-dominated (BD) stream (Van Essen & Anderson ...
Philip A, Allen +4 more
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Perceptual grouping in visual word recognition [PDF]
Four experiments are presented in which printed texts are read for their meaning. Some of the texts were mutilated by altering the size of selected letters. In Experiments 1, 2, and 3, the number of words mutilated per passage and the number of letters changed per word were both manipulated. In all three experiments, reading was slowed as a function of
J M, Bock, A F, Monk, C, Hulme
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Visual word recognition is impeded by adjacent words
We report two experiments demonstrating that visual word recognition is impeded by the presence of nearby stimuli, especially adjacent words. Reading research has converged on a consensus that skilled readers control their attention to make use of information from adjacent (primarily upcoming) words, increasing reading efficiency.
Laoura Ziaka +5 more
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A Cohort Model of Visual Word Recognition
A model of word recognition is proposed which assumes that when a word is encountered, the first available orthographic code activates all lexical entries that are positionally consistent with that information (i.e., the word's cohort). As subsequently encoded orthographic information becomes available, activation is withdrawn from lexical entries with
N F, Johnson, K R, Pugh
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Deep Word Embeddings for Visual Speech Recognition [PDF]
In this paper we present a deep learning architecture for extracting word embeddings for visual speech recognition. The embeddings summarize the information of the mouth region that is relevant to the problem of word recognition, while suppressing other types of variability such as speaker, pose and illumination.
Themos Stafylakis +1 more
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Enhancement Quality and Accuracy of Speech Recognition System Using Multimodal Audio-Visual Speech signal [PDF]
Most developments in speech-based automatic recognition have relied on acoustic speech as the sole input signal,disregarding its visual counterpart. However, recognition based on acoustic speech alone can be afflicted with deficiencies that prevent its ...
Eslam Elmaghraby +2 more
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Previous studies have shown that different spatial frequency information processing streams interact during the recognition of visual stimuli. However, it is a matter of debate as to the contributions of high and low spatial frequency (HSF and LSF ...
Kurt Winsler +3 more
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Vocabulary is considered as an essential component of language teaching and learning, and its mastery is significant for all language learners. The process of learning vocabulary is sometimes referred to as vocabulary acquisition.
Zachary Farouk Chai +2 more
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