Results 31 to 40 of about 165,832 (310)
SVMs for Automatic Speech Recognition: a Survey [PDF]
, 2007 Hidden Markov Models (HMMs) are, undoubtedly, the most employed core technique for Automatic Speech Recognition (ASR). Nevertheless, we are still far from achieving high-performance ASR systems.
Peláez-Moreno, Carmen +8 more
core +1 more source
Measuring the speed of the conscious components of recognition memory: Remembering is faster than knowing. [PDF]
, 2005 Three experiments investigated response times (RTs) for remember and know responses in recognition memory. RTs to remember responses were faster than RTs to know responses, regardless of whether the remember–know decision was preceded by an old/new ...
Brandt, Karen R. +10 more
core +1 more source
Contextual diversity, not word frequency, determines word-naming and lexical decision times [PDF]
Word frequency is an important predictor of word-naming and lexical decision times. It is, however, confounded with contextual diversity, the number of contexts in which a word has been seen.
Quesada, José F +2 more
core +1 more source
During visual word recognition, phonology is accessed within 100 ms and may be mediated by a speech production code: evidence from magnetoencephalography [PDF]
, 2010 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 ...
Hansen, Peter +7 more
core +1 more source
Continuous developmental changes in word recognition and language learning across early childhood
eLifeBeing a fluent language user involves recognizing words as they unfold in time. How does this skill develop over the course of early childhood? And how does facility in word recognition relate to the growth of vocabulary knowledge?
Michael C Frank +13 more
doaj +1 more source
Intact word processing in developmental prosopagnosia
Scientific Reports, 2017 A wealth of evidence from behavioural, neuropsychological and neuroimaging research supports the view that face recognition is reliant upon a domain-specific network that does not process words.
Edwin J. Burns +5 more
doaj +1 more source
Isolated word recognition using neural networks
Lietuvos Matematikos Rinkinys, 2003 This paper presents the speech recognition system, designed for recognition of 50 isolated Lithuanian words. The system is based on feedforward neural networks trained by error backpropagation algorithm.
Mark Filipovič
doaj +3 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Although significant progress has been made in childhood leukemia survival, healthcare providers, and caregivers often face challenges in explaining this disease to patients. Disease‐targeted storybooks have been proposed as a tool to facilitate the understanding of diagnoses and treatment.
Nutvipha Ummartyotin +6 more
wiley +1 more source
Word shape analysis for a hybrid recognition system [PDF]
, 1997 This paper describes two wholistic recognizers developed for use in a hybrid recognition system. The recognizers use information about the word shape. This information is strongly related to word zoning.
Whitrow, RJ, Powalka, RK, Sherkat, N
core
Spoken word classification in children and adults [PDF]
, 2011 Purpose: Preschool children often have difficulties in word classification, despite good speech perception and production. Some researchers suggest they represent words using phonetic features rather than phonemes.
Carroll, Julia M. +3 more
core +1 more source