Merging information in speech recognition: feedback is never necessary.
about
The phonemic restoration effect reveals pre-N400 effect of supportive sentence context in speech perception.The cortical organization of lexical knowledge: a dual lexicon model of spoken language processing.Speech perception at the interface of neurobiology and linguistics.Lexical mediation of phonotactic frequency effects on spoken word recognition: A Granger causality analysis of MRI-constrained MEG/EEG data.Robust speech perception: recognize the familiar, generalize to the similar, and adapt to the novelWhat Comes After /f/? Prediction in Speech Derives From Data-Explanatory Processes.Integrating probabilistic models of perception and interactive neural networks: a historical and tutorial reviewSpeech perception as categorization.Using effective connectivity analyses to understand processing architecture: Response to commentaries by Samuel, Spivey and McQueen, Eisner and Norris.Mapping the Speech Code: Cortical Responses Linking the Perception and Production of Vowels.Perceptual restoration of masked speech in human cortex.What do we mean by prediction in language comprehension?Sentential influences on acoustic-phonetic processing: A Granger causality analysis of multimodal imaging dataPrediction Errors but Not Sharpened Signals Simulate Multivoxel fMRI Patterns during Speech Perception.Lexical support for phonetic perception during nonnative spoken word recognition.Relative cue encoding in the context of sophisticated models of categorization: Separating information from categorizationSemantic Richness Effects in Spoken Word Recognition: A Lexical Decision and Semantic Categorization Megastudy.Phoneme restoration and empirical coverage of interactive activation and adaptive resonance models of human speech processing.Effects of Physiological Internal Noise on Model Predictions of Concurrent Vowel Identification for Normal-Hearing ListenersPrediction, Bayesian inference and feedback in speech recognition.Spoken Word Recognition Errors in Speech Audiometry: A Measure of Hearing Performance?Speech-specific tuning of neurons in human superior temporal gyrusContext effects on musical chord categorization: Different forms of top-down feedback in speech and music?Dynamic speech representations in the human temporal lobeLearning to perceive and recognize a second language: the L2LP model revisedVisual speech acts differently than lexical context in supporting speech perceptionIndividual differences in language ability are related to variation in word recognition, not speech perception: evidence from eye movementsWhat does the right hemisphere know about phoneme categories?Lexical is as lexical does: computational approaches to lexical representation.A psychophysical imaging method evidencing auditory cue extraction during speech perception: a group analysis of auditory classification images.Integration of pragmatic and phonetic cues in spoken word recognition.Language specific listening of Japanese geminate consonants: a cross-linguistic study.Real-time learning of predictive recognition categories that chunk sequences of items stored in working memory.Independence of early speech processing from word meaning.Neural systems underlying the influence of sound shape properties of the lexicon on spoken word production: do fMRI findings predict effects of lesions in aphasia?Misperceptions of spoken words: data from a random sample of American English wordsSpeech perception as an active cognitive processInvestigating the time course of spoken word recognition: electrophysiological evidence for the influences of phonological similarity.Immediate auditory repetition of words and nonwords: an ERP study of lexical and sublexical processingTop-down influences of written text on perceived clarity of degraded speech.
P2860
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P2860
Merging information in speech recognition: feedback is never necessary.
description
2000 nî lūn-bûn
@nan
2000年の論文
@ja
2000年論文
@yue
2000年論文
@zh-hant
2000年論文
@zh-hk
2000年論文
@zh-mo
2000年論文
@zh-tw
2000年论文
@wuu
2000年论文
@zh
2000年论文
@zh-cn
name
Merging information in speech recognition: feedback is never necessary.
@en
type
label
Merging information in speech recognition: feedback is never necessary.
@en
prefLabel
Merging information in speech recognition: feedback is never necessary.
@en
P1476
Merging information in speech recognition: feedback is never necessary
@en
P2093
P304
299-325; discussion 325-70
P356
10.1017/S0140525X00003241
P407
P577
2000-06-01T00:00:00Z