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1
Data-to-text generation with neural planning ...
Puduppully, Ratish Surendran. - : The University of Edinburgh, 2022
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2
Found speech and humans in the loop : Ways to gain insight into large quantities of speech
Fallgren, Per. - : KTH, Tal-kommunikation, 2022
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3
Data-to-text generation with neural planning
Puduppully, Ratish Surendran. - : The University of Edinburgh, 2022
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4
Management and Exploitation of Sensor Data : an Approach Based on Data Reduction ; Gestion et exploitation de données capteurs : une approche basée sur la réduction de données
Boulanouar, Khedidja. - : HAL CCSD, 2021
In: https://tel.archives-ouvertes.fr/tel-03483342 ; Autre [cs.OH]. ISAE-ENSMA Ecole Nationale Supérieure de Mécanique et d'Aérotechique - Poitiers; Université Saad Dahlab de Blida (Algérie), 2021. Français. ⟨NNT : 2021ESMA0011⟩ (2021)
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5
Optimizing linguistic materials for feature-based intelligibility assessment in speech impairments
In: ISSN: 1554-351X ; EISSN: 1554-3528 ; Behavior Research Methods ; https://hal.archives-ouvertes.fr/hal-03325628 ; Behavior Research Methods, Psychonomic Society, Inc, 2021, ⟨10.3758/s13428-021-01610-9⟩ (2021)
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6
Detecting deviations from activities of daily living routines using kinect depth maps and power consumption data
In: Research outputs 2014 to 2021 (2020)
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7
How to visualize high-dimensional data: a roadmap
In: Journal of Data Mining and Digital Humanities, Vol Special issue on Visualisations in Historical Linguistics (2020) (2020)
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8
A hierarchical, fuzzy inference approach to data filtration and feature prioritization in the connected manufacturing enterprise
In: Industrial & Manufacturing Engineering Faculty Articles (2018)
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9
Reflections on video-based, cross-cultural classroom research methodologies
In: Research outputs 2014 to 2021 (2017)
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10
A Comparison of Two Acoustic Methods for Forensic Speaker Discrimination
In: Acoustics Australia (2015)
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11
Multi-criteria decision analysis in spatial decision support: the ASSESS analytic hierarchy process and the role of quantitative methods and spatially explicit analysis
In: Environmental Modelling and Software (2015)
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12
Multi-criteria decision analysis in spatial decision support: the ASSESS analytic hierarchy process and the role of quantitative methods and spatially explicit analysis
In: Environmental Modelling and Software (2015)
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13
A Comparison of Two Acoustic Methods for Forensic Speaker Discrimination
In: Acoustics Australia (2015)
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14
Practical applications of sparse modeling
Rish, Irina. - Cambridge, Massachusetts : MIT Press, 2014, [2014]©2014
MPI für Psycholinguistik
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15
Operational Intelligence Failures of the Korean War
In: DTIC (2014)
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16
Making Semantic Information Work Effectively for Degraded Environments
In: DTIC (2013)
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17
Contexte et nature des réalisations phonétiques en parole conversationnelle
In: Journées d'études sur la Parole 29 ; https://hal.archives-ouvertes.fr/hal-01510457 ; Journées d'études sur la Parole 29, Jun 2012, Grenoble, France. pp.1-8 (2012)
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18
Formal Verification of Distributed Algorithms using PlusCal-2 ; Vérification Formelle d'Algorithmes Distribués en PlusCal-2
Akhtar, Sabina. - : HAL CCSD, 2012
In: https://tel.archives-ouvertes.fr/tel-01749162 ; Data Structures and Algorithms [cs.DS]. Université de Lorraine, 2012. English. ⟨NNT : 2012LORR0014⟩ (2012)
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19
Vowel reduction in conversational speech in French: the role of lexical factors
In: Journal of phonetics. - Amsterdam : Elsevier 39 (2011) 3, 271-278
BLLDB
OLC Linguistik
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20
Data-driven analysis of realtime vocal tract MRI using correlated image regions
Lammert, Adam C; Proctor, Michael I; Narayanan, Shrikanth S. - : Red Hook, NY : International Speech Communication Association, 2010
Abstract: Realtime MRI provides useful data about the human vocal tract, but also introduces many of the challenges of processing high-dimensional image data. Intuitively, data reduction would proceed by finding the air-tissue boundaries in the images, and tracing an outline of the vocal tract. This approach is anatomically well-founded. We explore an alternative approach which is data-driven and has a complementary set of advantages. Our method directly examines pixel intensities. By analyzing how the pixels co-vary over time, we segment the image into spatially localized regions, in which the pixels are highly correlated with each other. Intensity variations in these correlated regions correspond to vocal tract constrictions, which are meaningful units of speech production. We show how these regions can be extracted entirely automatically, or with manual guidance. We present two examples and discuss its merits, including the opportunity to do direct data-driven time series modeling. ; 4 page(s)
Keyword: 200400 Linguistics; Data reduction; Human speech production; Phonetics; Realtime MRI; Vocal tract
URL: http://hdl.handle.net/1959.14/231037
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