Results 21 to 30 of about 1,325,811 (342)

Assessing low-level cognitive processes of word recognition

open access: yesVocabulary Learning and Instruction, 2020
A fundamental skill required for vocabulary development is word recognition ability. According to Perfetti (1985), word recognition ability relies on low-level cognitive processing skill to be automatic and efficient in order for cognitive resources to ...
Michael Holsworth
doaj   +1 more source

Word matching using single closed contours for indexing handwritten historical documents [PDF]

open access: yes, 2007
Effective indexing is crucial for providing convenient access to scanned versions of large collections of historically valuable handwritten manuscripts. Since traditional handwriting recognizers based on optical character recognition (OCR) do not perform
Alan F. Smeaton   +13 more
core   +1 more source

Syllable Structure Effects in Word Recognition by Spanish- and German-Speaking Second Language Learners of English

open access: yesAtlantis, 2021
Previous findings in the literature point to the influence that speech perception has on word recognition. However, which specific aspects of the first (L1) and second language (L2) mapping play the most important role is still not fully understood. This
Maria Teresa Martinez-Garcia
doaj   +1 more source

Emotion and language: valence and arousal affect word recognition [PDF]

open access: yes, 2014
Emotion influences most aspects of cognition and behavior, but emotional factors are conspicuously absent from current models of word recognition. The influence of emotion on word recognition has mostly been reported in prior studies on the automatic ...
Brysbaert, Marc   +3 more
core   +2 more sources

Models of spoken‐word recognition [PDF]

open access: yesWIREs Cognitive Science, 2012
AbstractAll words of the languages we know are stored in the mental lexicon. Psycholinguistic models describe in which format lexical knowledge is stored and how it is accessed when needed for language use. The present article summarizes key findings in spoken‐word recognition by humans and describes how models of spoken‐word recognition account for ...
Weber, A., Scharenborg, O.
openaire   +3 more sources

Domain word recognition enhancement method in speech recognition

open access: yesDianzi Jishu Yingyong, 2019
Aiming at the problem that the national network customer telephone voice recognition has poor recognition of core words in specific fields, this paper proposes a method based on HCLG domain weight enhancement and domain word correction, which can add ...
Yang Wei, Zhang Caijun, Ma Yongbo
doaj   +1 more source

Beyond isolated word recognition [PDF]

open access: yesBehavioral and Brain Sciences, 2012
AbstractIn this commentary we concur with Frost's view of the centrality of universal principles in models of word identification. However, we argue that other processes in sentence comprehension also fundamentally constrain the nature of written word identification. Furthermore, these processes appear to be universal.
Liversedge, Simon Paul   +2 more
openaire   +5 more sources

Effect of face masks on speech understanding: A clinical perspective during speech audiometry

open access: yesJournal of Otology, 2022
The objective was to measure the effect of various face masks on speech recognition threshold and the word recognition score in the presence of varying background noise levels. 20 normal-hearing adult subjects (a total of 40 ears) participated. Pure tone
Rawish Kumar   +4 more
doaj  

Different hemispheric specialization for face/word recognition: A high‐density ERP study with hemifield visual stimulation

open access: yesBrain and Behavior, 2020
Introduction The right fusiform face area (FFA) is important for face recognition, whereas the left visual word fusiform area (VWFA) is critical for word processing.
Naomi Takamiya   +6 more
doaj   +1 more source

Influence of Highly Inflected Word Forms and Acoustic Background on the Robustness of Automatic Speech Recognition for Human–Computer Interaction

open access: yesMathematics, 2022
Automatic speech recognition is essential for establishing natural communication with a human–computer interface. Speech recognition accuracy strongly depends on the complexity of language.
Andrej Zgank
doaj   +1 more source

Home - About - Disclaimer - Privacy