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Emotional Speech Recognition Using Deep Neural Networks
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In: ISSN: 1424-8220 ; Sensors ; https://hal.archives-ouvertes.fr/hal-03632853 ; Sensors, MDPI, 2022, 22 (4), pp.1414. ⟨10.3390/s22041414⟩ (2022)
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Towards combined semantic and lexical scores based on a new representation of textual data to extract experimental data from scientific publications
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In: ISSN: 1751-5858 ; EISSN: 1751-5866 ; International Journal of Intelligent Information and Database Systems ; https://hal.inrae.fr/hal-03616243 ; International Journal of Intelligent Information and Database Systems, Inderscience, 2022, 15 (1), pp.78. ⟨10.1504/IJIIDS.2022.120146⟩ (2022)
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Islands and Bridges of Language: Bio-Inspired Structural Analysis of Language Embedding Data
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TIPD : Taiwan Indigenous Peoples open research Data 台灣原住民基礎開放研究資料庫 ...
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FAIRsharing record for: Document management -- Electronic document file format for long-term preservation -- Part 1: Use of PDF 1.4 (PDF/A-1) ... : ISO 19005-1:2005 ...
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FAIRsharing record for: Systems to manage terminology, knowledge and content -- Design, implementation and maintenance of terminology management systems ... : ISO 26162:2012 ...
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FAIRsharing record for: General Ontology for Linguistic Description ... : GOLD ...
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FAIRsharing record for: Information technology -- Hypermedia/Time-based Structuring Language (HyTime) ... : ISO/IEC 10744:1997 ...
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FAIRsharing record for: Language resource management -- Feature structures -- Part 1: Feature structure representation ... : ISO 24610-1:2006 ...
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Between Deterministic and Nondeterministic Quantitative Automata (Invited Talk)
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Boker, Udi. - : LIPIcs - Leibniz International Proceedings in Informatics. 30th EACSL Annual Conference on Computer Science Logic (CSL 2022), 2022
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Open access dataset of task-free hemodynamic activity in 4-month-old infants during sleep using fNIRS ...
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Corpus of Political Speeches: Policy responses to the Great Recession in the United Kingdom and Spain (2008-2014) ...
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Conditional Adversarial Learning to Enhance Bot Detection ...
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Dialectics of Liberation Congress Digital Archive Audio File Project ...
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Dialectics of Liberation Congress Digital Archive Audio File Project ...
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Protocol for the development of the international population registry for aphasia after stroke (I-PRAISE)
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In: Research outputs 2014 to 2021 (2022)
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Utilising a systematic review-based approach to create a database of individual participant data for meta- and network meta-analyses: The RELEASE database of aphasia after stroke
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Williams, Louise R.; Ali, Myzoon; VandenBerg, Kathryn; Williams, Linda J.; Abo, Masahiro; Becker, Frank; Bowen, Audrey; Brandenburg, Caitlin; Breitenstein, Caterina; Bruehl, Stefanie; Copland, David A.; Cranfill, Tamara B.; Di Pietro-Bachmann, Marie; Enderby, Pamela; Fillingham, Joanne; Galli, Federica Lucia; Gandolfi, Marialuisa; Glize, Bertrand; Godecke, Erin; Hawkins, Neil; Hilari, Katerina; Hinckley, Jacqueline; Horton, Simon; Howard, David; Jaecks, Petra; Jefferies, Elizabeth; Jesus, Luis M T; Kambanaros, Maria; Kang, Eun K; Khedr, Eman M; Kong, Anthony P H; Kukkonen, Tarja; Laganaro, Marina; Lambon Ralph, Matthew A; Laska, Ann C; Leemann, Béatrice; Leff, Alexander P; Lima, Roxele R; Lorenz, Antje; MacWhinney, Brian; Marshall, Rebecca S; Mattioli, Flavia; Maviş, İlknur; Meinzer, Marcus; Nilipour, Reza; Noé, Enrique; Paik, Nam-Jong; Palmer, Rebecca; Papathanasiou, Ilias; Patricio, Brigida F; Martins, Isabel P; Price, Cathy; Jakovac, Tatjana P; Rochon, Elizabeth; Rose, Miranda L; Rosso, Charlotte; Rubi-Fessen, Ilona; Ruiter, Marina B; Snell, Claerwen; Stahl, Benjamin; Szaflarski, Jerzy P; Thomas, Shirley A; Van De Sandt-Koenderman, Mieke; Van Der Meulen, Ineke; Visch-Brink, Evy; Worrall, Linda; Wright, Heather H; Brady, Marian C; The RELEASE Collaborators
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In: Research outputs 2014 to 2021 (2022)
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Abstract:
Background: Collation of aphasia research data across settings, countries and study designs using big data principles will support analyses across different language modalities, levels of impairment, and therapy interventions in this heterogeneous population. Big data approaches in aphasia research may support vital analyses, which are unachievable within individual trial datasets. However, we lack insight into the requirements for a systematically created database, the feasibility and challenges and potential utility of the type of data collated. Aim: To report the development, preparation and establishment of an internationally agreed aphasia after stroke research database of individual participant data (IPD) to facilitate planned aphasia research analyses. Methods: Data were collated by systematically identifying existing, eligible studies in any language ( ≥ 10 IPD, data on time since stroke, and language performance) and included sourcing from relevant aphasia research networks. We invited electronic contributions and also extracted IPD from the public domain. Data were assessed for completeness, validity of value-ranges within variables, and described according to pre-defined categories of demographic data, therapy descriptions, and language domain measurements. We cleaned, clarified, imputed and standardised relevant data in collaboration with the original study investigators. We presented participant, language, stroke, and therapy data characteristics of the final database using summary statistics. Results: From 5256 screened records, 698 datasets were potentially eligible for inclusion; 174 datasets (5928 IPD) from 28 countries were included, 47/174 RCT datasets (1778 IPD) and 91/174 (2834 IPD) included a speech and language therapy (SLT) intervention. Participants’ median age was 63 years (interquartile range [53, 72]), 3407 (61.4%) were male and median recruitment time was 321 days (IQR 30, 1156) after stroke. IPD were available for aphasia severity or ability overall (n = 2699; 80 datasets), naming (n = 2886; 75 datasets), auditory comprehension (n = 2750; 71 datasets), functional communication (n = 1591; 29 datasets), reading (n = 770; 12 datasets) and writing (n = 724; 13 datasets). Information on SLT interventions were described by theoretical approach, therapy target, mode of delivery, setting and provider. Therapy regimen was described according to intensity (1882 IPD; 60 datasets), frequency (2057 IPD; 66 datasets), duration (1960 IPD; 64 datasets) and dosage (1978 IPD; 62 datasets). Discussion: Our international IPD archive demonstrates the application of big data principles in the context of aphasia research; our rigorous methodology for data acquisition and cleaning can serve as a template for the establishment of similar databases in other research areas.
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Keyword:
aphasia; Health Information Technology; individual participant data; Medicine and Health Sciences; Public Health; rehabilitation reporting standards; speech and language therapy; Stroke
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URL: https://ro.ecu.edu.au/cgi/viewcontent.cgi?article=12374&context=ecuworkspost2013
https://ro.ecu.edu.au/ecuworkspost2013/11368
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