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1
Ultrasonic Doppler Based Silent Speech Interface Using Perceptual Distance
In: Applied Sciences; Volume 12; Issue 2; Pages: 827 (2022)
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2
Exploring Silent Speech Interfaces Based on Frequency-Modulated Continuous-Wave Radar
In: Sensors; Volume 22; Issue 2; Pages: 649 (2022)
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3
Haptic performativity: exploring the force of bodies and the limits of linguistic action in silent protests
Lavender, Luke. - 2022
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4
La parole intérieure : qu'est-ce que se parler veut dire?
Smadja, Stéphanie. - Paris : Hermann, 2021
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UB Frankfurt Linguistik
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5
Machine Learning Methods for Automatic Silent Speech Recognition Using a Wearable Graphene Strain Gauge Sensor. ...
Ravenscroft, Dafydd; Prattis, Ioannis; Kandukuri, Tharun. - : Apollo - University of Cambridge Repository, 2021
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6
Silent EEG-Speech Recognition Using Convolutional and Recurrent Neural Network with 85% Accuracy of 9 Words Classification
In: Sensors ; Volume 21 ; Issue 20 (2021)
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7
Machine Learning Methods for Automatic Silent Speech Recognition Using a Wearable Graphene Strain Gauge Sensor
In: Sensors; Volume 22; Issue 1; Pages: 299 (2021)
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8
Silent Speech Interfaces for Speech Restoration: A Review
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9
Women in the New Testament’s Church Ministry: The Problem of Remaining Silent
In: Diligence: Journal of the Liberty University Online Religion Capstone in Research and Scholarship (2018)
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10
Variation de la durée des pauses silencieuses : impact de la syntaxe, du style de parole et des disfluences
In: Langages, N 211, 3, 2018-08-29, pp.13-40 (2018)
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11
Neural and Behavioral Mechanisms of Clear Speech
Luque, Jenna Silver. - : Digital Commons @ University of South Florida, 2017
In: Graduate Theses and Dissertations (2017)
Abstract: Clear speech is a speaking style that has been shown to improve intelligibility in adverse listening conditions, for various listener and talker populations. Clear-speech phonetic enhancements include a slowed speech rate, expanded vowel space, and expanded pitch range. Although clear-speech phonetic enhancements have been demonstrated across a variety of talkers, only a subset of these changes may be required for listeners to benefit perceptually from clear speech. Furthermore, while current literature has provided some understanding of the phonetic enhancements that are typical of clear speech and the improvements in intelligibility resulting from its use, less is understood regarding how listeners benefit from clear speech. Understanding the mechanisms underlying the effectiveness of clear speech will provide insight into speech processing more generally. To that end, two studies were conducted to investigate the possible mechanisms underlying clear-speech benefits. The first study tests the hypothesis that clear speech reduces the amount of information needed for syllable identification. The amount of information presented to listeners was controlled using a silent-center syllable paradigm, in which various amounts of the center or edge of the syllables were removed. The second study tests the hypothesis that phonetic processing of clear speech requires fewer neuro-cognitive resources than typical, or conversational, speech. An Event Related Potential (ERP) paradigm, focused on the Phonological Mismatch Negativity (PMN) component, was used to compare participants’ neurophysiological responses to conversational- and clear-speech stimuli. Results from the first experiment supported the hypothesis of a clear-speech benefit in partial syllables, although the effect was stronger for some vowels than for others. The second experiment demonstrated differences in the way the brain responds to clear versus conversational speech, for syllables in which only the nucleus varied across stimuli. Match-mismatch differences were found in the MMN and PMN components, while the N600 component was found to respond to style differences.
Keyword: clear speech; ERP; Linguistics; partial syllables; PMN; silent center; Speech and Hearing Science
URL: https://digitalcommons.usf.edu/cgi/viewcontent.cgi?article=8250&context=etd
https://digitalcommons.usf.edu/etd/7053
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12
Невербальные средства общения в диалогическом дискурсе терциарной речи
БАБАЯН ВЛАДИМИР НИКОЛАЕВИЧ. - : Федеральное государственное бюджетное образовательное учреждение высшего профессионального образования «Вятский государственный гуманитарный университет», 2016
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13
Articulation in multimodal silent speech interface for European Portuguese ; Interfaces de fala silenciosa multimodais para português europeu com base na articulação
Freitas, João Dinis Colaço de. - : Universidade de Aveiro, 2015
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14
Charting the recovery of dysphagia in two complex cases of post-thermal burn injury: physiological characteristics and functional outcomes
Rumbach, Anna F.; Ward, Elizabeth C.; Zheng, Carmen. - : Maney Publishing, 2015
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15
Preliminary Test of a Real-Time, Interactive Silent Speech Interface Based on Electromagnetic Articulograph
In: CSE Conference and Workshop Papers (2014)
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16
Heft lemisphere: exchanges predominate in segmental speech errors
In: Journal of memory and language. - Amsterdam [u.a.] : Elsevier 68 (2013) 1, 26-38
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OLC Linguistik
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17
Rehearsal and aptitude in foreign vocabulary learning
In: The modern language journal. - Hoboken, NJ [u.a.] : Wiley-Blackwell 97 (2013) 4, 902-916
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OLC Linguistik
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18
Individual articulator's contribution to phoneme production
In: CSE Conference and Workshop Papers (2013)
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19
Word Recognition from Continuous Articulatory Movement Time-Series Data using Symbolic Representations
In: CSE Conference and Workshop Papers (2013)
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20
On natural metalinguistic abilities in aphasia: a preliminary study
In: Aphasiology. - London [u.a.] : Routledge, Taylor & Francis Group 26 (2012) 2, 199-219
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OLC Linguistik
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