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1	Emotional Speech Recognition Using Deep Neural Networks
	Trinh Van, Loan; Dao Thi Le, Thuy; Le Xuan, Thanh...
	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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2	Emotional Speech Recognition Using Deep Neural Networks
	Loan Trinh Van; Thuy Dao Thi Le; Thanh Le Xuan; Eric Castelli
	In: Sensors; Volume 22; Issue 4; Pages: 1414 (2022)
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3	Translate Wisely! An Evaluation of Close and Adaptive Translation Procedures in an Experiment Involving Questionnaire Translation
	Repke, Lydia; Dorer, Brita
	In: International journal of sociology ; 51 ; 2 ; 135-162 (2022)
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4	Generating Samples of Diasporic Minority Populations: A Chilean Example
	Zöllner, Oliver
	In: Targeting International Audiences: Current and Future Approaches to International Broadcasting Research ; 3 ; CIBAR Proceedings ; 138-149 ; Conference of International Broadcasters' Audience Research Services (CIBAR) ; XX (2022)
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5	The Optimism-Pessimism Short Scale-2 (SOP2): a comprehensive validation of the English-language adaptation
	Kemper, Christoph J.; Groskurth, Katharina; Lechner, Clemens...
	In: Measurement Instruments for the Social Sciences ; 4 ; 1-14 (2022)
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6	Warum wir so wenig über die Sprachen in Deutschland wissen: Spracheinstellungen als Erkenntnisbarriere
	Adler, Astrid; Ribeiro Silveira, Maria
	In: Diskurs Kindheits- und Jugendforschung / Discourse. Journal of Childhood and Adolescence Research ; 16 ; 4 ; 403-419 ; Perspektiven von Kindern und Jugendlichen auf sprachliche Diversität und Sprachbildungsprozesse (2021)
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7	Afterword: Future Directions in Multinational, Multiregional, and Multicultural (3MC) Survey Research
	de Jong, Julie; Cibelli Hibben, Kristen; Kelley, Jennifer...
	In: The essential role of language in survey research ; 243-256 (2021)
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8	Mapping the linguistic landscapes of the Marshall Islands
	Buchstaller, Isabelle; Alvanides, Seraphim
	In: Journal of Linguistic Geography ; 5 ; 2 ; 67-85 (2021)
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9	Multi-mode question pretesting: Using traditional cognitive interviews and online testing as complementary methods
	Kaplan, Robin L.; Edgar, Jennifer
	In: Survey Methods: Insights from the Field ; 1-14 ; Advancements in Online and Mobile Survey Methods (2021)
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10	Discourse Networks and Dual Screening: Analyzing Roles, Content and Motivations in Political Twitter Conversations
	Bossner, Felix; Nagel, Melanie
	In: Politics and Governance ; 8 ; 2 ; 311-325 ; Policy Debates and Discourse Network Analysis (2021)
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11	Integrating Manual and Automatic Annotation for the Creation of Discourse Network Data Sets
	Haunss, Sebastian; Kuhn, Jonas; Padó, Sebastian...
	In: Politics and Governance ; 8 ; 2 ; 326-339 ; Policy Debates and Discourse Network Analysis (2021)
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12	B-SFT: Beobachtungssystem zur Erfassung von Sprachfördertechniken im Kita- und Grundschulalltag
	Beckerle, Christine; Mackowiak, Katja; Kucharz, Diemut
	In: Mackowiak, Katja [Hrsg.]; Beckerle, Christine [Hrsg.]; Gentrup, Sarah [Hrsg.]; Titz, Cora [Hrsg.]: Forschungsinstrumente im Kontext institutioneller (schrift-)sprachlicher Bildung. Bad Heilbrunn : Verlag Julius Klinkhardt 2020, S. 79-101 (2020)
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13	Einleitung: Instrumente zur Erfassung institutioneller (schrift-)sprachlicher Bildung
	Mackowiak, Katja; Beckerle, Christine; Gentrup, Sarah...
	In: Mackowiak, Katja [Hrsg.]; Beckerle, Christine [Hrsg.]; Gentrup, Sarah [Hrsg.]; Titz, Cora [Hrsg.]: Forschungsinstrumente im Kontext institutioneller (schrift-)sprachlicher Bildung. Bad Heilbrunn : Verlag Julius Klinkhardt 2020, S. 7-12 (2020)
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14	Forschungsinstrumente im Kontext institutioneller (schrift-)sprachlicher Bildung
	Gentrup, Sarah Hrsg.; Mackowiak, Katja Hrsg.; Beckerle, Christine Hrsg.. - : Verlag Julius Klinkhardt, 2020. : Bad Heilbrunn, 2020. : pedocs-Dokumentenserver/DIPF, 2020
	In: Bad Heilbrunn : Verlag Julius Klinkhardt 2020, 159 S. (2020)
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15	Style-Controllable Speech-Driven Gesture Synthesis Using Normalising Flows
	Kucherenko, Taras; Henter, Gustav Eje; Beskow, Jonas. - : KTH, Tal, musik och hörsel, TMH, 2020. : KTH, Robotik, perception och lärande, RPL, 2020. : Wiley, 2020
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16	The Quality of Big Data: Development, Problems, and Possibilities of Use of Process-Generated Data in the Digital Age
	Baur, Nina; Graeff, Peter; Braunisch, Lilli; Schweia, Malte
	In: Historical Social Research ; 45 ; 3 ; 209-243 (2020)
	Abstract: The paper introduces the HSR Forum on digital data by discussing what big data are. The authors show that big data are not a new type of social science data but actually one of the oldest forms of social science data. In addition, big data are not necessarily digital data. Regardless, current methodological debates often assume that “big data” are “digital data.” The authors thus also show that digital data have a big drawback concerning data quality because they do not cover the whole population – due to so-called digital divides, not everybody is on the internet, and who is on the internet, is socially structured. The result is a selection bias. Based on this analysis, the paper concludes that big data and digital data are data like any other type of data – they have both advantages and specific blind spots. So rather than glorifying or demonising them, it seems much more sensible to discuss which specific advantages and drawbacks they have as well as when and how they are better suited for answering specific research questions and when and how other types of data are better suited – these are the questions that are addressed in this HSR Forum.
	Keyword: 10200; 30300; anthropology; big data; computational social sciences; Computer Methods; corpus linguistics; data capture; data quality; Datengewinnung; Datenqualität; digital data; digital divide; digital methods; Digitale Spaltung; Digitalisierung; digitalization; empirical social research; empirische Sozialforschung; Erhebungstechniken und Analysetechniken der Sozialwissenschaften; historical development; historical social research; historical sociology; historische Entwicklung; historische Sozialforschung; Internet; mass data; Methodologie; methodology; Methods and Techniques of Data Collection and Data Analysis; process-generated data; process-produced data; social research; social science methodology; Social sciences; social structure; sociology; Sozialstruktur; Sozialwissenschaften; Soziologie; Statistical Methods; survey methodology
	URL: https://doi.org/10.12759/hsr.45.2020.3.209-243 https://www.ssoar.info/ssoar/handle/document/68224
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17	Sprachlich-kulturelle Herausforderungen bei der qualitativen Inhaltsanalyse musikbiografischer Interviews mit chinesischen und schweizerischen Musikstudierenden
	Kull, Annatina; Petersen, Suse; Camp, Marc-Antoine
	In: Forum Qualitative Sozialforschung / Forum: Qualitative Social Research ; 20 ; 3 ; 12 ; Qualitative Content Analysis I (2019)
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18	Building a Sampling Frame for Migrant Populations via an Onomastic Approach: Lesson learned from the Austrian Immigrant Survey 2016
	Prandner, Dimitri; Weichbold, Martin
	In: Survey Methods: Insights from the Field ; 1-20 ; Probability and Nonprobability Sampling: Sampling of hard-to-reach survey populations (2019)
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19	Evaluating cross-linguistic forced alignment of conversational data in north Australian Kriol, an under-resourced language
	Jones, Caroline (R8989); Li, Weicong (R19152); Almeida, Andre. - : U.S., University of Hawaii, 2019
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20	An Empirical Study on Bidirectional Recurrent Neural Networks for Human Motion Recognition
	Tanisaro, Pattreeya; Heidemann, Gunther. - : Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, 2018. : LIPIcs - Leibniz International Proceedings in Informatics. 25th International Symposium on Temporal Representation and Reasoning (TIME 2018), 2018
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