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Sozio-oekonomisches Panel, Daten der Jahre 1984-2020 (SOEP-Core, v37, Teaching Version) ... : Socio-Economic Panel, data from 1984-2020, (SOEP-Core, v37, Teaching Version) ...
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Sozio-oekonomisches Panel, Daten der Jahre 1984-2020 (SOEP-Core, v37, Add-on: Area Types) ... : Socio-Economic Panel, data from 1984-2020, (SOEP-Core, v37, Add-on: Area Types) ...
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Sozio-oekonomisches Panel, Daten der Jahre 1984-2020 (SOEP-Core, v37, Onsite Edition) ... : Socio-Economic Panel, data from 1984-2020, (SOEP-Core, v37, Onsite Edition) ...
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Sozio-oekonomisches Panel, Daten der Jahre 1984-2020 (SOEP-Core, v37, Add-on: Planning regions) ... : Socio-Economic Panel, data from 1984-2020, (SOEP-Core, v37, Add-on: Planning regions) ...
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Sozio-oekonomisches Panel, Daten der Jahre 1984-2020 (SOEP-Core, v37, EU Edition) ... : Socio-Economic Panel, data from 1984-2020, (SOEP-Core, v37, EU Edition) ...
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Sozio-oekonomisches Panel, Daten der Jahre 1984-2020 (SOEP-Core, v37, International Edition) ... : Socio-Economic Panel, data from 1984-2020, (SOEP-Core, v37, International Edition) ...
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Sozio-oekonomisches Panel, Daten der Jahre 1984-2020 (SOEP-Core, v37, Remote Edition) ... : Socio-Economic Panel, data from 1984-2020, (SOEP-Core, v37, Remote Edition) ...
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Sozio-oekonomisches Panel, Daten der Jahre 1984-2019 (SOEP-Core, v36, Onsite Edition) ... : Socio-Economic Panel, data from 1984-2019, (SOEP-Core, v36, Onsite Edition) ...
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Sozio-oekonomisches Panel, Daten der Jahre 1984-2019 (SOEP-Core, v36, Remote Edition) ... : Socio-Economic Panel, data from 1984-2019, (SOEP-Core, v36, Remote Edition) ...
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Sozio-oekonomisches Panel, Daten der Jahre 1984-2019 (SOEP-Core, v36, Teaching Edition) ... : Socio-Economic Panel, data from 1984-2019, (SOEP-Core, v36, Teaching Edition) ...
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Sozio-oekonomisches Panel, Daten der Jahre 1984-2019 (SOEP-Core, v36, EU Edition) ... : Socio-Economic Panel, data from 1984-2019, (SOEP-Core, v36, EU Edition) ...
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Sozio-oekonomisches Panel, Daten der Jahre 1984-2019 (SOEP-Core, v36, International Edition) ... : Socio-Economic Panel, data from 1984-2019, (SOEP-Core, v36, International Edition) ...
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| 13 |
Predicting One’s Turn With Both Body and Mind: Anticipatory Speech Postures During Dyadic Conversation
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In: Front Psychol (2021)
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Abstract:
In natural conversation, turns are handed off quickly, with the mean downtime commonly ranging from 7 to 423 ms. To achieve this, speakers plan their upcoming speech as their partner’s turn unfolds, holding the audible utterance in abeyance until socially appropriate. The role played by prediction is debated, with some researchers claiming that speakers predict upcoming speech opportunities, and others claiming that speakers wait for detection of turn-final cues. The dynamics of articulatory triggering may speak to this debate. It is often assumed that the prepared utterance is held in a response buffer and then initiated all at once. This assumption is consistent with standard phonetic models in which articulatory actions must follow tightly prescribed patterns of coordination. This assumption has recently been challenged by single-word production experiments in which participants partly positioned their articulators to anticipate upcoming utterances, long before starting the acoustic response. The present study considered whether similar anticipatory postures arise when speakers in conversation await their next opportunity to speak. We analyzed a pre-existing audiovisual database of dyads engaging in unstructured conversation. Video motion tracking was used to determine speakers’ lip areas over time. When utterance-initial syllables began with labial consonants or included rounded vowels, speakers produced distinctly smaller lip areas (compared to other utterances), prior to audible speech. This effect was moderated by the number of words in the upcoming utterance; postures arose up to 3,000 ms before acoustic onset for short utterances of 1–3 words. We discuss the implications for models of conversation and phonetic control.
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Keyword:
Psychology
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URL: https://doi.org/10.3389/fpsyg.2021.684248
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8315268/
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| 14 |
Automatic Motion Tracking of Lips using Digital Video and OpenFace 2.0
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In: Laboratory Phonology: Journal of the Association for Laboratory Phonology; Vol 11, No 1 (2020); 9 ; 1868-6354 (2020)
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Does Articulation during Speeded Naming Reveal Continuous Negotiation of Parallel Constraints?
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Datasets for Articulatory Evidence of Parallel Phonological Encoding ...
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Presupposition Justification by Abduction and Quantified Presuppositions
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In: Sinn und Bedeutung; Bd. 6 (2002): Proceedings of Sinn und Bedeutung 6; 241-254 ; Proceedings of Sinn und Bedeutung; Vol 6 (2002): Proceedings of Sinn und Bedeutung 6; 241-254 ; 2629-6055 (2019)
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