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Hits 1 – 20 of 290
1
Καταστολή ηχητικού θορύβου μέσω τεχνικών μηχανικής μάθησης ...
Φιλιππίδης, Σπυρίδων Σταύρου
. - : Aristotle University of Thessaloniki, 2022
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2
Effect of Lexical-Semantic Cues during Real-Time Sentence Processing in Aphasia
Niloofar Akhavan; Christina Sen; Carolyn Baker; Noelle Abbott; Michelle Gravier; Tracy Love
In: Brain Sciences; Volume 12; Issue 3; Pages: 312 (2022)
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3
Mesh Clustering and Reordering Based on Normal Locality for Efficient Rendering
Sungjin Kim; Chang Ha Lee
In: Symmetry; Volume 14; Issue 3; Pages: 466 (2022)
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4
Real-Time Hand Gesture Recognition Using Fine-Tuned Convolutional Neural Network
Jaya Prakash Sahoo; Allam Jaya Prakash; Paweł Pławiak; Saunak Samantray
In: Sensors; Volume 22; Issue 3; Pages: 706 (2022)
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5
Articulation of geminate obstruents in the Ikema dialect of Miyako Ryukyuan: A real-time MRI analysis
Fujimoto, Masako
;
SHINOHARA, Shigeko
;
Mochihashi, Daichi
In: ISSN: 0025-1003 ; EISSN: 1475-3502 ; Journal of the International Phonetic Association ; https://hal.archives-ouvertes.fr/hal-03096154 ; Journal of the International Phonetic Association, Cambridge University Press (CUP), 2021, pp.1-25 ; https://www.cambridge.org/core/ (2021)
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Integration of Social Context vs. Linguistic Reference During Situated Language Processing ...
Maquate, Katja
;
Knoeferle, Pia
. - : Humboldt-Universität zu Berlin, 2021
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7
«ПОЛЕВАЯ» ИДЕНТИФИКАЦИЯ ЧЕЛОВЕКА ... : «FIELDWORK» IDENTIFICATION OF A PERSON ...
Пимонов Борис Викторович
. - : Вестник Восточно-Сибирского института МВД России, 2021
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8
転置畳み込みニューラルネットワークを用いたrtMRIデータからの調音-音響変換
丹治 涼
;
大村 英史
;
澤田 隼
...
In: https://ccd.ninjal.ac.jp/lrw2021.html (2021)
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9
口蓋3次元データの作成とWAVEでの発話計測実験への応用
能田 由紀子
;
北村 達也
;
Yukiko NOTA
...
In: https://ccd.ninjal.ac.jp/lrw2021.html (2021)
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10
リアルタイムMRI動画データベースプロジェクトの概要と調音音声学への応用
前川 喜久雄
;
Kikuo MAEKAWA
In: https://ccd.ninjal.ac.jp/lrw2021.html (2021)
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11
リアルタイムMRI調音動画データの閲覧および解析環境の開発
浅井 拓也
;
菊池 英明
;
前川 喜久雄
...
In: https://ccd.ninjal.ac.jp/lrw2021.html (2021)
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12
リアルタイムMRI動画から抽出した声道の輪郭に基づく平均声道の基礎的検討
竹本 浩典
;
天野 沢海
;
Hironori TAKEMOTO
...
In: https://ccd.ninjal.ac.jp/lrw2021.html (2021)
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13
A Survey on Sign Language Recognition ...
S, Abilash
;
Ashish, Ashish
;
K S, Shreyas
. - : Zenodo, 2021
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14
A Survey on Sign Language Recognition ...
S, Abilash
;
Ashish, Ashish
;
K S, Shreyas
. - : Zenodo, 2021
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15
Selection of Key Frames for 3D Reconstruction in Real Time
Koschel
;
Müller
;
Reiterer
In: Algorithms ; Volume 14 ; Issue 11 (2021)
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16
Soundpainting Sign Language: Possibilities and Connections with Tactileology
Arnau Millà
In: Philosophies ; Volume 6 ; Issue 3 (2021)
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17
Integration of Social Context vs. Linguistic Reference During Situated Language Processing
Maquate, Katja
;
Knoeferle, Pia
. - : Humboldt-Universität zu Berlin, 2021
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18
Referential vs. Non-referential World-Language Relations: How Do They Modulate Language Comprehension in 4 to 5-Year-Olds, Younger, and Older Adults?
Maquate, Katja
;
Knoeferle, Pia
. - : Humboldt-Universität zu Berlin, 2021
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19
Calibrate to innovate: Community age vectors and the real time incrementation of language change
Holmes-Elliott, S
. - 2021
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20
Aging and Referential Communication: Insights from Interactions with Artificial Agents
Haji Gholam Saryazdi, Raheleh
. - : University of Toronto, 2021
Abstract:
The global aging population has led to an increase in research on patterns of change across the lifespan. The evidence to-date suggests that older adults experience declines in sensory and cognitive abilities, however, less is known about changes in the language domain. Language is a fundamental component of everyday communication, not only in the context of interactions with humans but also with artificial agents. There are now increasing multidisciplinary efforts to develop technologies that provide assistance and/or companionship to older adults through spoken language interfaces (e.g., smart homes, social robots). Yet, there is little research on how effectively older adults communicate with artificial agents. Given that a key aspect of everyday communication with humans and artificial agents involves reference to objects in the here-and-now, this dissertation explores age-related differences in referential abilities. The goal is to advance our understanding of patterns of change in referential communication by drawing on insights from interactions with artificial agents. The first study, which explored how speakers design descriptions for different addressees (younger adult, older adult, computer), revealed that although older speakers produced more redundant information than younger speakers, they were similar in terms of performance measures (speech onset latency, speech rate, fluency). Intriguingly, effects were similar regardless of addressee type. The next study examined potential age-related differences in pragmatic inferencing during comprehension. Like younger adults, older listeners generated inferences based on relevant visual information, but had more difficulty suppressing these inferences when warranted (i.e., when a robot speaker had limited perceptual abilities). The final study, which explored the effect of redundant information in descriptions produced by a robot, revealed no age-related differences in real-time processing. Paralleling human-human studies, redundant information that helped to narrow listeners' visual attention facilitated comprehension. Together, the results show that patterns of referential communication with artificial agents are quite similar to previously-observed patterns with humans. Further, although meaningful age-related differences were sometimes found, many aspects of referential communication seem to be preserved in aging. These findings enhance our understanding of referential behavior in aging in the context of interacting with artificial agents and also inform the design of future technologies. ; Ph.D.
Keyword:
0493
;
Aging
;
Artificial agents
;
Pragmatic inference
;
Real-time processing
;
Referential communication
;
Social robots
URL:
http://hdl.handle.net/1807/108693
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