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1
Neural responses demonstrate the dynamicity of speech perception
Abstract: Spoken language is produced with a great deal of variability with which listeners must be able to cope. One source of variation is coarticulation, which is due to articulatory planning and transitions between segments. Recently, the temporal features of coarticulation were investigated during a picture/spoken-word matching task by using spliced stimuli carrying either congruent or incongruent subphonemic cues at the CV juncture (Archibald & Joanisse, 2011). ERPs were recorded with attention paid to the phonological mapping negativity (PMN) (Connolly & Phillips, 1994; Newman & Connolly, 2004) – a prelexical response sensitive to violations of phonological expectations. Results found that the PMN varied in response to coarticulation violations and concluded that phonetic features in spoken words influence prelexical processing during word recognition. Using a written-/spoken-word paradigm, Arbour, 2012 controlled phonological shape by using onsets that were either fricatives or stops, hypothesizing that coarticulatory information would be differentially processed due to their temporal differences. Findings supported the PMN’s sensitivity to coarticulation but also showed that temporal and physical differences between onsets modulated the effect. These results raise the question of whether acoustic distance between vowels will modulate prelexical processing of speech as reflected by the PMN amplitude: the focus of the current study. Words were organized into minimal sets such that all onset/coda combinations appeared with each vowel provided that English words resulted. Vowels were one of /i, u, æ, ɑ/, maximizing acoustic distance (height and backness). Data from 20 subjects indicate that the PMN is sensitive to the degree of difference between the original and post-splice vowels. When the number of distinctive features changing is greater, the result is an earlier, more robust PMN. This suggests that the rate of speech recognition is not static but dynamic, and is dependent on likeness of subphonemic features. ; Thesis ; Master of Science (MSc)
Keyword: cues; EEG; elecroencephalography; ERP; event-related potentials; features; N100; P200; phonological mapping negativity; phonology; PMN; spoken word recognition; subphonemic
URL: http://hdl.handle.net/11375/16295
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2
EmotionWatch: Visualizing Fine-Grained Emotions in Event-Related Tweets
In: Proceedings of the International AAAI Conference on Web and Social Media; Vol. 8 No. 1 (2014): Eighth International AAAI Conference on Weblogs and Social Media ; 2334-0770 ; 2162-3449 (2014)
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3
Temporal expression recognition using dependency trees
Mazur, Pawel; Dale, Robert. - : Switzerland : Springer Verlag, 2014
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4
Grammatical aspect and event recognition in children's online sentence comprehension
Zhou, Peng; Crain, Stephen; Zhan, Likan. - : Elsevier, 2014
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5
Semantic richness effects in visual word processing
Rabovsky, Milena. - : Humboldt-Universität zu Berlin, Lebenswissenschaftliche Fakultät, 2014
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6
Semantic richness effects in visual word processing ...
Rabovsky, Milena. - : Humboldt-Universität zu Berlin, Lebenswissenschaftliche Fakultät, 2014
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7
Face Recognition and Event Detection in Video: An Overview of PROVE-IT Projects
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8
Dynamics of alpha oscillations elucidate facial affect recognition in schizophrenia
In: Cognitive, Affective, & Behavioral Neuroscience ; 14 (2014), 1. - S. 364-377. - ISSN 1530-7026. - eISSN 1531-135X (2014)
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9
Hemispheric differences in orthographic and semantic processing as revealed by event-related potentials
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10
Hemispheric asymmetries in word recognition as revealed by the orthographic uniqueness point effect
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11
Unsupervised Event Extraction from News and Twitter ; IDEAL Computational Linguistics Prototype
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